A Diophantine equation is a multi-variate polynomial equation with integer coefficients, and it is satisfiable if it has a solution with all unknowns taking integer values. Davis, Putnam, Robinson and Matiyasevich showed that the general Diophantine satisfiability problem is undecidable (giving a negative answer to Hilbert’s tenth problem) but it is nevertheless possible to argue in zero-knowledge the knowledge of a solution, if a solution is known to a prover. We provide the first succinct honest-verifier zero-knowledge argument for the satisfiability of Diophantine equations with a communication complexity and a round complexity that grows logarithmically in the size of the polynomial equation. The security of our argument relies on standard assumptions on hidden-order groups. As the argument requires to commit to integers, we introduce a new integer-commitment scheme that has much smaller parameters than Damgard and Fujisaki’s scheme. We finally show how to succinctly argue knowledge of solutions to several NP-complete problems and cryptographic problems by encoding them as Diophantine equations.

This report deals with the problem of identifying the potential correlations between the observable power consumption of a digital circuit and its inputs, when the operating conditions of the circuit involve a logic hazard (also known as glitch). This problem is of utmost importance when the circuit is a cryptographic primitive that must ensure that secret input data (e.g., keys) does not leak. We present a universal algebra construction that allows to derive a set of artefacts from a digital circuit among which a conservative estimate of the Boolean expression that the circuit might leak as well as the extended input/output correlation matrix [1]. This allows the evaluation of the robustness against side channel attacks through a set of constructions that fall under the umbrella of robust probing security [2]. We believe that such a formalisation is well suited for CAD synthesis tools to help the design of more robust cryptographic primitives.

Bit permutation based block ciphers, like PRESENT and GIFT, are well-known for their extreme lightweightness in hardware implementation. However, designing such ciphers comes with one major challenge - to ensure strong cryptographic properties simply depending on the combination of three components, namely S-box, a bit permutation and a key addition function. Having a wrong combination of components could lead to weaknesses. In this article, we studied the interaction between these components, improved the theoretical security bound of GIFT and highlighted the potential pitfalls associated with a bit permutation based primitive design. We also conducted analysis on TRIFLE, a first-round candidate for the NIST lightweight cryptography competition, where our findings influenced the elimination of TRIFLE from second-round of the NIST competition. In particular, we showed that internal state bits of TRIFLE can be partially decrypted for a few rounds even without any knowledge of the key.

In the past decades, user authentication has been dominated by server-side password-based solutions that rely on "what users know". This approach is susceptible to breaches and phishing attacks, and poses usability challenges. As a result, the industry is gradually moving to biometric-based client-side solutions that do not store any secret information on servers. This shift necessitates the safe storage of biometric templates and private keys, which are used to generate tokens, on user devices. We propose a new generic framework called Biometric Enabled Threshold Authentication (BETA) to protect sensitive client-side information like biometric templates and cryptographic keys. Towards this, we formally introduce the notion of Fuzzy Threshold Tokenizer (FTS) where an initiator can use a "close" biometric measurement to generate an authentication token if at least $t$ (the threshold) devices participate. We require that the devices only talk to the initiator, and not to each other, to capture the way user devices are connected in the real world. We use the universal composability (UC) framework to model the security properties of FTS, including the unforgeability of tokens and the privacy of the biometric values (template and measurement), under a malicious adversary. We construct three protocols that meet our definition. Our first two protocols are general feasibility results that work for any distance function, any threshold $t$ and tolerate the maximal (i.e. $t-1$) amount of corruption. They are based on any two round UC-secure multi-party computation protocol in the standard model (with a CRS) and threshold fully homomorphic encryption, respectively. We show how to effectively use these primitives to build protocols in a constrained communication model with just four rounds of communication. For the third protocol, we consider inner-product based distance metrics (cosine similarity, Euclidean distance, etc.) specifically, motivated by the recent interest in its use for face recognition. We use Paillier encryption, efficient NIZKs for specific languages, and a simple garbled circuit to build an efficient protocol for the common case of $n=3$ devices with one compromised.

We consider threshold ring signatures (introduced by Bresson et al. [BSS02], where any t signers can sign a message while anonymizing themselves within a larger (size-n) group. The signature proves that t members of the group signed, without revealing anything else about their identities. Our contributions in this paper are two-fold. First, we strengthen existing definitions of threshold ring signatures in a natural way; we demand that a signer cannot be de-anonymized even by their fellow signers. This is crucial, since in applications where a signer's anonymity is important, we do not want anonymity to be compromised by a single insider. Our definitions demand non-interactive signing, which is important for anonymity, since truly anonymous interaction is difficult or impossible in many scenarios. Second, we give the first rigorous construction of a threshold ring signature with size independent of n, the number of users in the larger group. Instead, our signatures have size linear in t, the number of signers. This is also a very important contribution; signers should not have to choose between achieving their desired degree of anonymity (possibly very large n) and their need for communication efficiency.

Nakamoto's famous blockchain protocol enables achieving consensus in a so-called permissionless setting--anyone can join (or leave) the protocol execution, and the protocol instructions do not depend on the identities of the players. His ingenious protocol prevents ``sybil attacks'' (where an adversary spawns any number of new players) by relying on computational puzzles (a.k.a. ``moderately hard functions'') introduced by Dwork and Naor (Crypto'92). Recent work by Garay et al (EuroCrypt'15) and Pass et al. (EuroCrypt'17) demonstrate that this protocol provably achieves consistency and liveness assuming a) honest players control a majority of the computational power in the network, b) the puzzle-difficulty is appropriately set as a function of the maximum network message delay and the total computational power of the network, and c) the computational puzzle is modeled as a random oracle. These works, however, leave open the question of how to set the puzzle difficulty in a setting where the computational power in the network is changing. Nakamoto's protocol indeed also includes a description of a difficutly update procedure. A recent work by Garay et al. (Crypto'17) indeed shows a variant of this difficulty adjustment procedure can be used to get a sound protocol as long as the computational power does not change too fast --- however, under two restrictions: 1) their analysis assumes that the attacker cannot delays network messages, and 2) the changes in computational power in the network changes are statically set (i.e., cannot be adaptively selected by the adversary). In this work, we show the same result but without these two restrictions, demonstrating the soundness of a (slightly different) difficulty update procedure, assuming only that the computational power in the network does not change too fast (as a function of the maximum network message delays); as an additional contribution, our analysis yields a tight bound on the ``chain quality'' of the protocol.

A common approach to bootstrapping a new cryptocurrency is an airdrop, an arrangement in which existing users give away currency to entice new users to join. But current airdrops offer no recipient privacy: they leak which recipients have claimed the funds, and this information is easily linked to off-chain identities. In this work, we address this issue by defining a private airdrop and describing concrete schemes for widely-used user credentials, such as those based on ECDSA and RSA. Our private airdrop for RSA builds upon a new zero-knowledge argument of knowledge of the factorization of a committed secret integer, which may be of independent interest. We also design a private genesis airdrop that efficiently sends private airdrops to millions of users at once. Finally, we implement and evaluate. Our fastest implementation takes 40--180 ms to generate and 3.7--10 ms to verify an RSA private airdrop signature. Signatures are 1.8--3.3 kiB depending on the security parameter.

Blockchain protocols based on variations of the longest-chain rule—whether following the proof-of-work paradigm or one of its alternatives—suffer from a fundamental latency barrier. This arises from the need to collect a sufficient number of blocks on top of a transaction-bearing block to guarantee the transaction’s stability while limiting the rate at which blocks can be created in order to prevent security-threatening forks. Our main result is a black-box security-amplifying combiner based on parallel composition of $m$ blockchains that achieves $\Theta(m)$-fold security amplification for conflict-free transactions or, equivalently, $\Theta(m)$-fold reduction in latency. Our construction breaks the latency barrier to achieve, for the first time, a ledger based purely on Nakamoto longest-chain consensus guaranteeing worst-case constant-time settlement for conflict-free transactions: settlement can be accelerated to a constant multiple of block propagation time with negligible error. Operationally, our construction shows how to view any family of blockchains as a unified, virtual ledger without requiring any coordination among the chains or any new protocol metadata. Users of the system have the option to inject a transaction into a single constituent blockchain or—if they desire accelerated settlement—all of the constituent blockchains. Our presentation and proofs introduce a new formalism for reasoning about blockchains, the dynamic ledger, and articulate our constructions as transformations of dynamic ledgers that amplify security. We also illustrate the versatility of this formalism by presenting robust-combiner constructions for blockchains that can protect against complete adversarial control of a minority of a family of blockchains.

Coercion resistance is one of the most important features of a secure voting procedure. Because of the properties such as transparency, decentralization, and non-repudiation, blockchain is a fundamental technology of great interest in its own right, and it also has large potential when integrated into many other areas. Here we propose a decentralized e-voting protocol that is coercion-resistant and vote-selling resistant, while being also completely transparent and not receipt-free. We prove the security of the protocol under the standard DDH assumption.

We present LotMint, a permissionless blockchain, with a purposely low set bar for Proof-of-Work (PoW) difficulty. Our objective is for personal computers, cloud virtual machines or containers, even mobile devices, and hopefully future IoT devices, to become the main, widely distributed, collectively much securer, fairer, more reliable and economically sustainable mining workforce for blockchains. An immediate question arises: how to prevent the permissionless network from being flooded of block dissemination traffic by a massive number of profit enthusiastic miners? We propose a novel notion of {\em Decentralized Clock/Time} (DC/DT) as global and logical clock/time which can be agreed upon as a consensus. Our construction of DC/DT practically uses distributed private clocks of the participation nodes. With DC/DT, a node upon creating or hearing a block can know how luckily short or unluckily long time for the block to have been mined and/or traveled through the network. They can ``time throttle'' a potentially large number of unluckily mined/travelled blocks. The luckier blocks passing through the time throttle are treated as time-tie forks with a volume being ``throttle diameter'' adjustably controlled not to congest the network. With the number of time-tie forks being manageable, it is then easy to break-tie elect a winner, or even to orderly queue a plural number of winners for a ``multi-core'' utilization of resource. We provide succinct and evident analyses of necessary properties for the LotMint blockchain including: decentralization, energy saving, safety, liveness, robustness, fairness, anti-denial-of-service, anti-sybil, anti-censorship, scaled-up transaction processing throughput and sped-up payment confirmation time.

To combat the ongoing Covid-19 pandemic, many new ways have been proposed on how to automate the process of finding infected people, also called contact tracing. A special focus was put on preserving the privacy of users. Bluetooth Low Energy (BLE) as base technology has the most promising properties, so this survey focuses on automated contact tracing techniques using BLE. We define multiple classes of methods and identify two major groups: systems that rely on a server for finding new infections and systems that distribute this process. Existing approaches are systematically classified regarding security and privacy criteria.

Persistent fault analysis (PFA) consists in guessing block cipher secret keys by biasing their substitution box. This paper improves the original attack of Zhang et al. on AES-128 presented at CHES 2018. By a thorough analysis, the exact probability distribution of the ciphertext (under a uniformly distributed plaintext) is derived, and the maximum likelihood key recovery estimator is computed exactly. Its expression is turned into an attack algorithm, which is shown to be twice more efficient in terms of number of required encryptions than the original attack of Zhang et al. This algorithm is also optimized from a computational complexity standpoint. In addition, our optimal attack is naturally amenable to key enumeration, which expedites full 16- bytes key extraction. Various tradeoffs between data and computational complexities are investigated.

Automated contract tracing aims at supporting manual contact tracing during pandemics by alerting users of encounters with infected people. There are currently many proposals for protocols (like the “decentralized” DP-3T and PACT or the “centralized” ROBERT and DESIRE) to be run on mobile phones, where the basic idea is to regularly broadcast (using low energy Bluetooth) some values, and at the same time store (a function of) incoming messages broadcasted by users in their proximity. In the existing proposals one can trigger false positives on a massive scale by an “inverse-Sybil” attack, where a large number of devices (malicious users or hacked phones) pretend to be the same user, such that later, just a single person needs to be diagnosed (and allowed to upload) to trigger an alert for all users who were in proximity to any of this large group of devices. We propose the first protocols that do not succumb to such attacks assuming the devices involved in the attack do not constantly communicate, which we observe is a necessary assumption. The high level idea of the protocols is to derive the values to be broadcasted by a hash chain, so that two (or more) devices who want to launch an inverse-Sybil attack will not be able to connect their respective chains and thus only one of them will be able to upload. Our protocols also achieve security against replay, belated replay, and one of them even against relay attacks.

In ICISC-05, and in the ePrint $2010/287$, Patarin claimed a lower bound on the number of $2q$ tuples of $n$-bit strings $(P_1, \ldots, P_{2q}) \in (\{0,1\}^{n})^{2q}$ satisfying $P_{2i - 1} \oplus P_{2i} = \lambda_i$ for $1 \leq i \leq q$ such that $P_1, P_2, \ldots$, $P_{2q}$ are distinct and $\lambda_i \in \{0,1\}^n \setminus \{0^n\}$. This result is known as {\em Mirror theory} and widely used in cryptography. It stands as a powerful tool to provide a high-security guarantee for many block cipher-(or even ideal permutation-) based designs. In particular, Mirror theory has a direct application in the security of XOR of block ciphers. Unfortunately, the proof of Mirror theory contains some unverifiable gaps and several mistakes. This paper provides a simple and verifiable proof of Mirror theory.

While NIZK arguments in the CRS model are widely studied, the question of what happens when the CRS was subverted has received little attention. In ASIACRYPT 2016, Bellare, Fuchsbauer, and Scafuro showed the first negative and positive results in the case of NIZK, proving also that it is impossible to achieve subversion soundness and (even non-subversion) zero-knowledge at the same time. On the positive side, they constructed an involved sound and subversion-zero-knowledge (Sub-ZK) non-succinct NIZK argument for NP. We consider the practically very relevant case of zk-SNARKs. We make Groth's zk-SNARK for \textsc{Circuit-SAT} from EUROCRYPT 2016 computationally knowledge-sound and perfectly composable Sub-ZK with minimal changes. We only require the CRS trapdoor to be extractable and the CRS to be publicly verifiable. To achieve the latter, we add some new elements to the CRS and construct an efficient CRS verification algorithm. We also provide a definitional framework for knowledge-sound and Sub-ZK SNARKs.

In ToSC 2017 Saha et al. demonstrated an interesting property of SHA3 based on higher-order vectorial derivatives which led to self-symmetry based distinguishers referred to as SymSum and bettered the complexity w.r.t the well-studied ZeroSum distinguisher by a factor of 4. This work attempts to take a fresh look at this distinguisher in the light of the linearization technique developed by Guo et al. in Asiacrypt 2016. It is observed that the efficiency of SymSum against ZeroSum drops from 4 to 2 for any number of rounds linearized. This is supported by theoretical proofs. SymSum augmented with linearization can penetrate up to two more rounds as against the classical version. In addition to that, one more round is extended by inversion technique on the final hash values. The combined approach leads to distinguishers up to 9 rounds of SHA3 variants with a complexity of only 264 which is better than the equivalent ZeroSum distinguisher by the factor of 2. To the best of our knowledge this is the best distinguisher available on this many rounds of SHA3.

Binary error LWE is the particular case of the learning with errors (LWE) problem in which errors are chosen in $\{0,1\}$. It has various cryptographic applications, and in particular, has been used to construct efficient encryption schemes for use in constrained devices. Arora and Ge showed that the problem can be solved in polynomial time given a number of samples quadratic in the dimension $n$. On the other hand, the problem is known to be as hard as standard LWE given only slightly more than $n$ samples. In this paper, we first examine more generally how the hardness of the problem varies with the number of available samples. Under standard heuristics on the Arora--Ge polynomial system, we show that, for any $\epsilon >0$, binary error LWE can be solved in polynomial time $n^{O(1/\epsilon)}$ given $\epsilon\cdot n^{2}$ samples. Similarly, it can be solved in subexponential time $2^{\tilde O(n^{1-\alpha})}$ given $n^{1+\alpha}$ samples, for $0<\alpha<1$. As a second contribution, we also generalize the binary error LWE to problem the case of a non-uniform error probability, and analyze the hardness of the non-uniform binary error LWE with respect to the error rate and the number of available samples. We show that, for any error rate $0 < p < 1$, non-uniform binary error LWE is also as hard as worst-case lattice problems provided that the number of samples is suitably restricted. This is a generalization of Micciancio and Peikert's hardness proof for uniform binary error LWE. Furthermore, we also discuss attacks on the problem when the number of available samples is linear but significantly larger than $n$, and show that for sufficiently low error rates, subexponential or even polynomial time attacks are possible.

This paper deals with Montgomery-friendly primes designed for the modular reduction algorithm of Montgomery. These numbers are scattered in the literature and their properties are partially exploited. We exhibit a large family of Montgomery-friendly primes which give rise to efficient modular reduction algorithms. We develop two main uses. The first one is dedicated directly to cryptography, in particular for isogeny based approaches and more generally to Elliptic Curves Cryptography. We suggest more appropriate finite fields and curves in terms of complexity for the recommended security levels, for both isogeny-based cryptography and ECC. The second use is purely arithmetic, and we propose families of alternative RNS bases. We show that, for dedicated architectures with word operators, we can reach, for a same or better complexity, larger RNS bases with Montgomery-friendly pairwise co-primes than the RNS bases generally used in the literature with Pseudo-Mersenne numbers. This is particularly interesting for modular arithmetic used in cryptography.

The share size of general secret-sharing schemes is poorly understood. The gap between the best known upper bound on the total share size per party of $2^{0.59n}$ (Applebaum and Nir, CRYPTO 2021) and the best known lower bound of $\Omega(n/\log n)$ (Csirmaz, J. of Cryptology 1997) is huge (where $n$ is the number of parties in the scheme). To gain some understanding on this problem, we study the share size of secret-sharing schemes of almost all access structures, i.e., of almost all collections of authorized sets. This is motivated by the fact that in complexity, many times almost all objects are hardest (e.g., most Boolean functions require exponential size circuits). All previous constructions of secret-sharing schemes were for the worst access structures (i.e., all access structures) or for specific families of access structures. We prove upper bounds on the share size for almost all access structures. We combine results on almost all monotone Boolean functions (Korshunov, Probl. Kibern. 1981) and a construction of (Liu and Vaikuntanathan, STOC 2018) and conclude that almost all access structures have a secret-sharing scheme with share size $2^{\tilde{O}(\sqrt{n})}$. We also study graph secret-sharing schemes. In these schemes, the parties are vertices of a graph and a set can reconstruct the secret if and only if it contains an edge. Again, for this family there is a huge gap between the upper bounds - $O(n/\log n)$ (Erdös and Pyber, Discrete Mathematics 1997) - and the lower bounds - $\Omega(\log n)$ (van Dijk, Des. Codes Crypto. 1995). We show that for almost all graphs, the share size of each party is $n^{o(1)}$. This result is achieved by using robust 2-server conditional disclosure of secrets protocols, a new primitive introduced and constructed in (Applebaum et al., STOC 2020), and the fact that the size of the maximal independent set in a random graph is small. Finally, using robust conditional disclosure of secrets protocols, we improve the total share size for all very dense graphs.

We build symmetric encryption schemes from a pseudorandom function/permutation with domain size $N$ which have very high security -- in terms of the amount of messages $q$ they can securely encrypt -- assuming the adversary has $S < N$ bits of memory. We aim to minimize the number of calls $k$ we make to the underlying primitive to achieve a certain $q$, or equivalently, to maximize the achievable $q$ for a given $k$. We target in particular $q \gg N$, in contrast to recent works (Jaeger and Tessaro, EUROCRYPT '19; Dinur, EUROCRYPT '20) which aim to beat the birthday barrier with one call when $S < \sqrt{N}$. Our first result gives new and explicit bounds for the Sample-then-Extract paradigm by Tessaro and Thiruvengadam (TCC '18). We show instantiations for which $q =\Omega((N/S)^{k})$. If $S < N^{1- \alpha}$, Thiruvengadam and Tessaro's weaker bounds only guarantee $q > N$ when $k = \Omega(\log N)$. In contrast, here, we show this is true already for $k = O(1/\alpha)$. We also consider a scheme by Bellare, Goldreich and Krawczyk (CRYPTO '99) which evaluates the primitive on $k$ independent random strings, and masks the message with the XOR of the outputs. Here, we show $q= \Omega((N/S)^{k/2})$, using new combinatorial bounds on the list-decodability of XOR codes which are of independent interest. We also study best-possible attacks against this construction.

Dark markets for share trading provide an important function in the financial services industry, however the operators of such markets are not operating in the dark; leaving the possibility open for the market operator to gain a market advantage. Multi-Party Computation (MPC) is a method to remove the need for such trusted third parties. In this paper we show how MPC can be used to implement such a dark market. Importantly we base our solution on the throughputs and algorithms needed in real markets. In particular we base our implementation on the Turquoise Plato market used by the London Stock Exchange.

We establish the optimal security threshold for the Bitcoin protocol in terms of adversarial hashing power, honest hashing power, and network delays. Specifically, we prove that the protocol is secure if $$r_a < \frac{1}{\Delta + 1/r_h}\; ,$$ where $r_h$ is the expected number of honest proof-of-work successes in unit time, $r_a$ is the expected number of adversarial successes, and no message is delayed by more than $\Delta$ time units. In this regime, the protocol guarantees consistency and liveness with exponentially decaying failure probabilities. Outside this region, the simple private chain attack prevents consensus. Our analysis immediately applies to any Nakamoto-style proof-of-work protocol; we also present the adaptations needed to apply it in the proof-of-stake setting, establishing a similar threshold there.

Thanks to relatively small public and secret keys, the Supersingular Isogeny Key Encapsulation (SIKE) protocol made it into the third evaluation round of the post-quantum standardization project of the National Institute of Standards and Technology (NIST). Even though a large body of research has been devoted to the efficient implementation of SIKE, its latency is still undesirably long for many real-world applications. Most existing implementations of the SIKE protocol use the Montgomery representation for the underlying field arithmetic since the corresponding reduction algorithm is considered the fastest method for performing multiple-precision modular reduction. In this paper, we propose a new data representation for supersingular isogeny-based Elliptic-Curve Cryptography (ECC), of which SIKE is a sub-class. This new representation enables significantly faster implementations of modular reduction than the Montgomery reduction, and also other finite-field arithmetic operations used in ECC can benefit from our data representation. We implemented all arithmetic operations in C using the proposed representation such that they have constant execution time and integrated them to the latest version of the SIKE software library. Using four different parameters sets, we benchmarked our design and the optimized generic implementation on a 2.6 GHz Intel Xeon E5-2690 processor. Our results show that, for the prime of SIKEp751, the proposed reduction algorithm is approximately 2.61 times faster than the currently best implementation of Montgomery reduction, and our representation also enables significantly better timings for other finite-field operations. Due to these improvements, we were able to achieve a speed-up by a factor of about 1.65, 2.03, 1.61, and 1.48 for SIKEp751, SIKEp610, SIKEp503, and SIKEp434, respectively, compared to state-of-the-art generic implementations.IKEp751, SIKEp610, SIKEp503, and SIKEp434, respectively, compared to state-of-the-art generic implementations.

Grain-128AEAD is a stream cipher supporting authenticated encryption with associated data, and it is currently in round 2 of the NIST lightweight crypto standardization process. In this paper we present and benchmark software implementations of the cipher, targeting constrained processors. The processors chosen are the 8-bit (AVR) and 16-bit (MSP) processors used in the FELICS-AEAD framework. Both high speed and small code size implementations are targeted, giving us in total 4 different implementations. Using the FELICS framework for benchmarking, we conclude that Grain-128AEAD is competitive to other algorithms currently included in the FELICS framework. Our detailed discussion regarding particular implementation tricks and choices can hopefully be of use for the community when considering optimizations for other ciphers.

In Time-Specific Signatures (TSS) parameterized by an integer $T\in\mathbb{N}$, a signer with a secret-key associated with a numerical value $t\in[0,T-1]$ can anonymously, i.e., without revealing $t$, sign a message under a numerical range $[L,R]$ such that $0\leq L \leq t\leq R\leq T-1$. An application of TSS is anonymous questionnaire, where each user associated with a numerical value such as age, date, salary, geographical position (represented by longitude and latitude) and etc., can anonymously fill in a questionnaire in an efficient manner. In this paper, we propose two \textit{polylogarithmically} efficient TSS constructions based on asymmetric pairing with groups of prime order, which achieve different characteristics in efficiency. In the first one based on a forward-secure signatures scheme concretely obtained from a hierarchical identity-based signatures scheme proposed by Chutterjee and Sarker (IJACT'13), size of the master public-key, size of a secret-key and size of a signature are asymptotically $\mathcal{O}(\log T)$, and size of the master secret-key is $\mathcal{O}(1)$. In the second one based on a wildcarded identity-based ring signatures scheme obtained as an instantiation of an attribute-based signatures scheme proposed by Sakai, Attrapadung and Hanaoka (PKC'16), the sizes are $\mathcal{O}(\log T)$, $\mathcal{O}(1)$, $\mathcal{O}(\log^2 T)$ and $\mathcal{O}(\log T)$, respectively.

Many attribute-based anonymous credential (ABC) schemes have been proposed allowing a user to prove the possession of some attributes, anonymously. They became more and more practical with, for the most recent papers, a constant-size credential to show a subset of attributes issued by a unique credential issuer. However, proving possession of attributes coming from $K$ different credential issuers usually requires $K$ independent credentials to be shown. Only attribute-based credential schemes from aggregate signatures can overcome this issue. In this paper, we propose new ABC schemes from aggregate signatures with randomizable tags. We consider malicious credential issuers, with adaptive corruptions and collusions with malicious users. Whereas our constructions only support selective disclosures of attributes, to remain compact, our approach significantly improves the complexity in both time and memory of the showing of multiple attributes: for the first time, the cost for the prover is (almost) independent of the number of attributes and the number of credential issuers. Whereas anonymous credentials require privacy of the user, we also propose the first schemes allowing traceability by a specific tracing authority.

At FSE 2017, Gaži et al. demonstrated a pseudorandom function (PRF) distinguisher (Gaži et al., ToSC 2016(2)) on PMAC with $ \Omega(\ell q^2/2^n) $ advantage, where $ q $, $ \ell $, and $ n $, denote the number of queries, maximum permissible query length (in terms of $ n $-bit blocks), and block size of the underlying block cipher. This, in combination with the upper bounds of $ O(\ell q^2/2^n) $ (Minematsu and Matsushima, FSE 2007) and $ O(q\sigma/2^n) $ (Nandi and Mandal, J. Mathematical Cryptology 2008(2)), resolved the long-standing problem of exact security of PMAC. Gaži et al. also showed that the dependency on $ \ell $ can be dropped (i.e. $ O(q^2/2^n) $ bound up to $ \ell \leq 2^{n/2} $) for a simplified version of PMAC, called sPMAC, by replacing the Gray code-based masking in PMAC with any $ 4 $-wise independent universal hash-based masking. Recently, Naito proposed another variant of PMAC with two powering-up maskings (Naito, ToSC 2019(2)) that achieves $ \ell $-free bound of $ O(q^2/2^n) $, provided $ \ell \leq 2^{n/2} $. In this work, we first identify a flaw in the analysis of Naito's PMAC variant that invalidates the security proof. Apparently, the flaw is not easy to fix under the existing proof setup. We then formulate an equivalent problem which must be solved in order to achieve $ \ell $-free security bounds for this variant. Second, we show that sPMAC achieves $ O(q^2/2^n) $ bound for a weaker notion of universality as compared to the earlier condition of $ 4 $-wise independence.

Side-channel analysis has seen rapid adoption of deep learning techniques over the past years. While many paper focus on designing efficient architectures, some works have proposed techniques to boost the efficiency of existing architectures. These include methods like data augmentation, oversampling, regularization etc. In this paper, we compare data augmentation and oversampling (particularly SMOTE and its variants) on public traces of two side-channel protected AES. The techniques are compared in both balanced and imbalanced classes setting, and we show that adopting SMOTE variants can boost the attack efficiency in general. Further, we report a successful key recovery on ASCAD(desync=100) with 180 traces, a 50% improvement over current state of the art.

A collection of sets displays a proximity gap with respect to some property if for every set in the collection, either (i) all members are $\delta$-close to the property in relative Hamming distance or (ii) only a tiny fraction of members are $\delta$-close to the property. In particular, no set in the collection has roughly half of its members $\delta$-close to the property and the others $\delta$-far from it. We show that the collection of affine spaces displays a proximity gap with respect to Reed--Solomon (RS) codes, even over small fields, of size polynomial in the dimension of the code, and the gap applies to any $\delta$ smaller than the Johnson/Guruswami-Sudan list-decoding bound of the RS code. We also show near-optimal gap results, over fields of (at least) linear size in the RS code dimension, for $\delta$ smaller than the unique decoding radius. Concretely, if $\delta$ is smaller than half the minimal distance of an RS code $V\subset {\mathbb F}_q^n$, every affine space is either entirely $\delta$-close to the code, or alternatively at most an $(n/q)$-fraction of it is $\delta$-close to the code. Finally, we discuss several applications of our proximity gap results to distributed storage, multi-party cryptographic protocols, and concretely efficient proof systems. We prove the proximity gap results by analyzing the execution of classical algebraic decoding algorithms for Reed--Solomon codes (due to Berlekamp-Welch and Guruswami-Sudan) on a formal element of an affine space. This involves working with Reed-Solomon codes whose base field is an (infinite) rational function field. Our proofs are obtained by developing an extension (to function fields) of a strategy of Arora and Sudan for analyzing low-degree tests.

Recent years have seen various side-channel timing attacks demonstrated on both CPUs and GPUs, in diverse settings such as desktops, clouds, and mobile systems. These attacks observe events on different shared resources on the memory hierarchy from timing information, and then infer secret-dependent memory access pattern to retrieve the secret through statistical analysis. We generalize these attacks as memory-based side-channel attacks. In this paper, we propose a novel software countermeasure, MemPoline, against memory-based side-channel attacks. MemPoline hides the secret-dependent memory access pattern by moving sensitive data around randomly within a memory space. Compared to the prior oblivious RAM technology, MemPoline employs parameter-directed permutations to achieve randomness, which are significantly more efficient and yet provide similar security. Our countermeasure only requires modifying the source code, and has great advantages of being general - algorithm-agnostic, portable - independent of the underlying architecture, and compatible - a user-space approach that works for any operating system or hypervisor. We run a thorough evaluation of our countermeasure. We apply it to both AES, a symmetric cipher, and RSA, an asymmetric cipher. Both empirical results and theoretical analysis show that our countermeasure resists a series of existing memory-based side-channel attacks on CPUs and GPUs.

We define a new primitive that we call a somewhere statistically binding (SSB) commitment scheme, which is a generalization of dual-mode commitments but has similarities with SSB hash functions (Hubacek and Wichs, ITCS 2015) without local opening. In (existing) SSB hash functions, one can compute a hash of a vector v that is statistically binding in one coordinate of v. Meanwhile, in SSB commitment schemes, a commitment of a vector v is statistically binding in some coordinates of v and is statistically hiding in the other coordinates. The set of indices where binding holds is predetermined but known only to the commitment key generator. We show that the primitive can be instantiated by generalizing the succinct Extended Multi-Pedersen commitment scheme (González et al., Asiacrypt 2015). We further introduce the notion of functional SSB commitment schemes and, importantly, use it to get an efficient quasi-adaptive NIZK for arithmetic circuits and efficient oblivious database queries.

In this note, we review lattice-based public-key encryption with the keyword search against inside keyword guess attacks (IKGAs) proposed by Zhang \textit{et al}. in IEEE Transactions on Dependable and Secure Computing in 2021. We demonstrate that this scheme is insecure for IKGAs, although Zhang \textit{et al.} demonstrated a secure proof.

On 2 May 2019, during United Kingdom local elections, an e-voting trial was conducted in Gateshead, using a touch-screen end-to-end verifiable e-voting system. This was the first test of its kind in the United Kingdom, and it presented a case study to envisage the future of e-voting.

We give a construction of a non-interactive zero-knowledge (NIZK) argument for all NP languages based on a succinct non-interactive argument (SNARG) for all NP languages and a one-way function. The succinctness requirement for the SNARG is rather mild: We only require that the proof size be $|\pi|=\mathsf{poly}(\lambda)(|x|+|w|)^\delta$ for some constant $\delta<1$, where $|x|$ is the statement length, $|w|$ is the witness length, and $\lambda$ is the security parameter. Especially, we do not require anything about the efficiency of the verification. Based on this result, we also give a generic conversion from a SNARK to a zero-knowledge SNARG assuming the existence of one-way functions where SNARK is a SNARG with the knowledge-extractability. For this conversion, we require the SNARK to be fully succinct, i.e., the proof size is $\mathsf{poly}(\lambda)(|x|+|w|)^{o(1)}$. Before this work, such a conversion was only known if we additionally assume the existence of a NIZK. Along the way of obtaining our result, we give a generic compiler to upgrade a NIZK for all NP languages with non-adaptive zero-knowledge to one with adaptive zero-knowledge. Though this can be shown by carefully combining known results, to the best of our knowledge, no explicit proof of this generic conversion has been presented.

Data-sharing systems are often used to store sensitive data. Both academia and industry have proposed numerous solutions to protect user privacy and data integrity from a compromised server. Practical state-of-the-art solutions, however, use weak threat models based on centralized trust—they assume that part of the server will remain uncompromised, or that the adversary will not perform active attacks. We propose Ghostor, a data-sharing system that, using only decentralized trust, (1) hides user identities from the server, and (2) allows users to detect server-side integrity violations. To achieve (1), Ghostor avoids keeping any per-user state at the server, requiring us to redesign the system to avoid common paradigms like per-user authentication and user-specific mailboxes. To achieve (2), Ghostor develops a technique called verifiable anonymous history. Ghostor leverages a blockchain rarely, publishing only a single hash to the blockchain for the entire system once every epoch. We measured that Ghostor incurs a 4–5x throughput overhead compared to an insecure baseline. Although significant, Ghostor's overhead may be worth it for security- and privacy-sensitive applications.

Oblivious transfer (OT) is a fundamental problem in cryptography where it is required that a sender transfers one of potentially many pieces of information to a receiver and at the same time remains oblivious as to which piece has been transferred. After its introduction back in 1981 by Rabin, some more useful variations of OT appeared in the literature such as $OT^1_2$, $OT^1_n$, and $OT^k_n$. In 2015, a very simple and efficient OT protocol was proposed by Chou and Orlandi. Later, Hauck and Loss proposed an improved protocol and proved it to be fully UC-secure under the CDH assumption. Our goal in this paper is to extend the results of Hauck and Loss and propose a simple generic construction to build $OT^1_2$ and in general $OT^1_n$. The machinery we employ is homomorphic encryption. We instantiate our construction with some well known homomorphic encryption schemes such as RSA, Paillier, and NTRU to obtain concrete OT protocols. We further provide the details of the proof of the UC-security of our generic construction.

We construct efficient ring signatures from isogeny and lattice assumptions. Our ring signatures are based on a logarithmic OR proof for group actions. We then instantiate this group action by either the CSIDH group action or an MLWE-based group action to obtain our isogeny-based or lattice-based ring signature scheme respectively. Even though this OR proof has a binary challenge space and therefore needs to be repeated a linear number of times, the size of our ring signatures is small and scales better with the ring size N than previously known post-quantum ring signatures. We also construct linkable ring signatures that are almost as efficient as the non-linkable variant. The signature size of our isogeny-based construction is an order of magnitude smaller than all previously known logarithmic post-quantum ring signatures, but is relatively slow (e.g. 5.5 KB signatures and 79 s signing time for rings with 8 members). In comparison, our lattice-based construction is much faster, but has larger signatures (e.g. 30 KB signatures and 90 ms signing time for the same ring size). For small ring sizes our lattice-based ring signatures are slightly larger than state-of-the-art schemes, but they are smaller for ring sizes larger than $N \approx 1024$.

In this paper we study two-round key-alternating block ciphers with round function $f(x)=x^{(2^t+1)2^s},$ where $t,s$ are positive integers. An algorithm to compute the distribution weight with respect to input and output masks is described. In the case $t=1$ the correlation distributions in dependence on input and output masks are completely determined for arbitrary pairs of masks. We investigate with more details the case $f(x)=x^3$ and fully derive and classify the distributions, proving that there are only 5 possible values for the correlation for any pair of masks.

In this paper we present ALBATROSS, a family of multiparty randomness generation protocols with guaranteed output delivery and public verification that allows to trade off corruption tolerance for a much improved amortized computational complexity. Our basic stand alone protocol is based on publicly verifiable secret sharing (PVSS) and is secure under in the random oracle model under the decisional Diffie-Hellman (DDH) hardness assumption. We also address the important issue of constructing Universally Composable randomness beacons, showing two UC versions of Albatross: one based on simple UC NIZKs and another one based on novel efficient ``designated verifier'' homomorphic commitments. Interestingly this latter version can be instantiated from a global random oracle under the weaker Computational Diffie-Hellman (CDH) assumption. An execution of ALBATROSS with $n$ parties, out of which up to $t=(1/2-\epsilon)\cdot n$ are corrupt for a constant $\epsilon>0$, generates $\Theta(n^2)$ uniformly random values, requiring in the worst case an amortized cost per party of $\Theta(\log n)$ exponentiations per random value. We significantly improve on the SCRAPE protocol (Cascudo and David, ACNS 17), which required $\Theta(n^2)$ exponentiations per party to generate one uniformly random value. This is mainly achieved via two techniques: first, the use of packed Shamir secret sharing for the PVSS; second, the use of linear $t$-resilient functions (computed via a Fast Fourier Transform-based algorithm) to improve the randomness extraction.

A blockchain is designed to be a self-sufficient decentralised ledger: a peer verifying the validity of past transactions only needs to download the blockchain (the ledger) and nothing else. However, it might be of interest to make two different blockchains interoperable, i.e., to allow one to transmit information from one blockchain to another blockchain. In this paper, we give a formalisation of this problem, and we prove that blockchain interoperability is impossible according to the classical definition of a blockchain. Under a weaker definition of blockchain, we demonstrate that two blockchains are interoperable is equivalent to creating a `2-in-1' blockchain containing both ledgers, thus limiting the theoretical interest of making interoperable blockchains in the first place. We also observe that all practical existing interoperable blockchain frameworks work indeed by exchanging already created tokens between two blockchains and not by offering the possibility to transfer tokens from one blockchain to another one, which implies a modification of the balance of total created tokens on both blockchains. It confirms that having interoperability is only possible by creating a `2-in-1' blockchain containing both ledgers.

The distributed ledger technology has been widely hailed as the break- through technology. It has realised a great number of application scenarios, and improved workflow of many domains. Nonetheless, there remain a few major concerns in adopting and deploying the distributed ledger technology at scale. In this white paper, we tackle two of them, namely the throughput scalability and confidentiality protection for transactions. We learn from the existing body of research, and build a scale-out blockchain plat- form that champions privacy called RVChain. RVChain takes advantage of trusted execution environment to offer confidentiality protection for transactions, and scale the throughput of the network in proportion with the number of network participants by supporting parallel shadow chains.

In this paper we describe the design components of the heterogenous multi-chain protocol Polkadot and explain how these components help Polkadot address some of the existing shortcomings of blockchain technologies. At present, a vast number of blockchain projects have been introduced and employed with various features that are not necessarily designed to work with each other. This makes it difficult for users to utilise a large number of applications on different blockchain projects. Moreover, with the increase in number of projects the security that each one is providing individually becomes weaker. Polkadot aims to provide a scalable and interoperable framework for multiple chains with pooled security that is achieved by the collection of components described in this paper.

Grover search algorithm reduces the security level of symmetric key cryptography with $n$-bit secret key to $O(2^{n/2})$. In order to evaluate the Grover search algorithm, the target block cipher should be implemented in quantum circuits. Recently, many research works evaluated required quantum resources of AES block ciphers by optimizing the expensive substitute layer. However, only few works devoted to ARX-based lightweight block ciphers, which are active research area. In this paper, we present optimized implementations of SPECK 32/64 and SPECK 64/128 block ciphers for quantum computers. To the best of our knowledge, this is the first implementation of SPECK in quantum circuits. Primitive operations, including addition, rotation, and exclusive-or, for SPECK block cipher are finely optimized to achieve the optimal quantum circuit, in terms of qubits, Toffoli gate, CNOT gate, and X gate. The proposed method can be applied to other ARX-based lightweight block ciphers, such as LEA, HIGHT and CHAM block ciphers.

An indistinguishability obfuscator is a probabilistic polynomial-time algorithm that takes a circuit as input and outputs a new circuit that has the same functionality as the input circuit, such that for any two circuits of the same size that compute the same function, the outputs of the indistinguishability obfuscator are indistinguishable. Here, we study schemes for indistinguishability obfuscation for quantum circuits. We present two definitions for indistinguishability obfuscation: in our first definition (qiO) the outputs of the obfuscator are required to be indistinguishable if the input circuits are perfectly equivalent, while in our second definition (qiOD), the outputs are required to be indistinguishable as long as the input circuits are approximately equivalent with respect to a pseudo-distance D. Our main results provide (1) a computationally-secure scheme for qiO where the size of the output of the obfuscator is exponential in the number of non-Clifford (T gates), which means that the construction is efficient as long as the number of T gates is logarithmic in the circuit size and (2)a statistically-secure qiOD, for circuits that are close to the kth level of the Gottesman-Chuang hierarchy (with respect to D); this construction is efficient as long as k is small and fixed.

We introduce a new primitive named Delay Encryption, and give an efficient instantation based on isogenies of supersingular curves and pairings. Delay Encryption is related to Time-lock Puzzles and Verifiable Delay Functions, and can be roughly described as ``time-lock identity based encryption''. It has several applications in distributed protocols, such as sealed bid Vickrey auctions and electronic voting. We give an instantiation of Delay Encryption by modifying Boneh and Frankiln's IBE scheme, where we replace the master secret key by a long chain of isogenies, as in the isogeny VDF of De Feo, Masson, Petit and Sanso. Similarly to the isogeny-based VDF, our Delay Encryption requires a trusted setup before parameters can be safely used; our trusted setup is identical to that of the VDF, thus the same parameters can be generated once and shared for many executions of both protocols, with possibly different delay parameters. We also discuss several topics around delay protocols based on isogenies that were left untreated by De Feo et al., namely: distributed trusted setup, watermarking, and implementation issues.

Flush based cache attacks like Flush+Reload and Flush+Flush are one of the highly effective cache attacks. In fact, the Flush+Flush attack is stealthy too. Most of the flush based attacks provide high accuracy in controlled environments where attacker and victim are the only two processes that are running on a system by sharing OS pages. However, we observe that these attacks lose their effectiveness (prone to low accuracy) on a noisy multi-core system where co-running applications run along with the attacker and the victim. Two root causes for the varying accuracy of flush based attacks are: (i) the dynamic nature of core frequencies that fluctuate depending on the system load, and (ii) the relative placement of victim and attacker threads in the processor (same logical core, same physical core, different physical cores). The variation in the processor frequencies and placement of threads affect one of the critical attack steps (the cache latency calibration step as the latency threshold set to distinguish a cache hit from a miss becomes inaccurate). We propose a set of refinements (DABANGG refinements) to make existing flush attacks resilient to frequency changes and thread placement in the processor, and therefore system noise. We propose refinements to pre-attack and attack steps and make it conscious about the latency change. We evaluate DABANGG-enabled Flush+Reload and Flush+Flush attacks (DABANGG+Flush+Reload and DABANGG+Flush+Flush, respectively) against the standard Flush+Reload and Flush+Flush attacks across four scenarios for eight different combinations of system noise capturing different levels of compute, memory, and I/O noise intensities: (i) a side-channel attack based on user input (single-character and multi-character key-logging), (ii) a side-channel on AES, (iii) a covert-channel, and a (iv) transient execution attack in the form the Spectre attack. For all the scenarios, DABANGG+Flush+Reload and DABANGG+Flush+Flush outperform the standard Flush+Reload and Flush+Flush attacks in terms of F1-score and accuracy.

Protocols for secure multi-party computation are commonly composed of different sub-protocols, combining techniques such as homomorphic encryption, secret or Boolean sharing, and garbled circuits. In this paper, we design a new class of multi-party computation protocols which themselves are composed out of two-party protocols. We integrate both types of compositions, compositions of fully homomorphic encryption and garbled circuits with compositions of multi-party protocols from two-party protocols. As a result, we can construct communication-efficient protocols for special problems. Furthermore, we show how to efficiently ensure the security of composed protocols against malicious adversaries by proving in zero-knowledge that conversions between individual techniques are correct. To demonstrate the usefulness of this approach, we give an example scheme for private set analytics, i.e., private set disjointness. This scheme enjoys lower communication complexity than a solution based on generic multi-party computation and lower computation cost than fully homomorphic encryption. So, our design is more suitable for deployments in wide-area networks, such as the Internet, with many participants or problems with circuits of moderate or high multiplicative depth.

Oblivious Linear Evaluation (OLE) is the arithmetic analogue of the well-know oblivious transfer primitive. It allows a sender, holding an affine function $f(x)=a+bx$ over a finite field or ring, to let a receiver learn $f(w)$ for a $w$ of the receiver's choice. In terms of security, the sender remains oblivious of the receiver's input $w$, whereas the receiver learns nothing beyond $f(w)$ about $f$. In recent years, OLE has emerged as an essential building block to construct efficient, reusable and maliciously-secure two-party computation. In this work, we present efficient two-round protocols for OLE over large fields based on the Learning with Errors (LWE) assumption, providing a full arithmetic generalization of the oblivious transfer protocol of Peikert, Vaikuntanathan and Waters (CRYPTO 2008). At the technical core of our work is a novel extraction technique which allows to determine if a non-trivial multiple of some vector is close to a $q$-ary lattice.

Implementing cryptographic functions securely in the presence of physical adversaries is still a challenge although a lion's share of research in the physical security domain has been put in development of countermeasures. Among several protection schemes, masking has absorbed the most attention of research in both academic and industrial communities, due to its theoretical foundation allowing to provide proofs or model the achieved security level. In return, masking schemes are difficult to implement as the implementation process often is manual, complex, and error-prone. This motivated the need for formal verification tools that allow the designers and engineers to analyze and verify the designs before manufacturing. In this work, we present a new framework to analyze and verify masked implementations against various security notions using different security models as reference. In particular, our framework - which directly processes the resulting gate-level netlist of a hardware synthesis - particularly relies on Reduced Ordered Binary Decision Diagrams (ROBDDs) and the concept of statistical independence of probability distributions. Compared to existing tools, our framework captivates due to its simplicity, accuracy, and functionality while still having a reasonable efficiency for many applications and common use-cases.

SIDH is a post-quantum key exchange algorithm based on the presumed difficulty of finding isogenies between supersingular elliptic curves. However, SIDH and related cryptosystems also reveal additional information: the restriction of a secret isogeny to a subgroup of the curve (torsion-point information). Petit [30] was the first to demonstrate that torsion-point information could noticeably lower the difficulty of finding secret isogenies. In particular, Petit showed that "overstretched" parameterizations of SIDH could be broken in polynomial time. However, this did not impact the security of any cryptosystems proposed in the literature. The contribution of this paper is twofold: First, we strengthen the techniques of [30] by exploiting additional information coming from a dual and a Frobenius isogeny. This extends the impact of torsion-point attacks considerably. In particular, our techniques yield a classical attack that completely breaks the n-party group key exchange of [2], first introduced as GSIDH in [16], for 6 parties or more, and a quantum attack for 3 parties or more that improves on the best known asymptotic complexity. We also provide a Magma implementation of our attack for 6 parties. We give the full range of parameters for which our attacks apply. Second, we construct SIDH variants designed to be weak against our attacks; this includes backdoor choices of starting curve, as well as backdoor choices of base-field prime. We stress that our results do not degrade the security of, or reveal any weakness in, the NIST submission SIKE [19].

Search for the right pairs of inputs in difference-based distinguishers is an important task for the experimental verification of the distinguishers in symmetric-key ciphers. In this paper, we develop an MILP-based approach to verify the possibility of difference-based distinguishers and extract the right pairs. We apply the proposed method to some presented difference-based trails (Related-Key Differentials (RKD), Rotational-XOR (RX)) of block ciphers \texttt{SIMECK}, and \texttt{SPECK}. As a result, we show that some of the reported RX-trails of \texttt{SIMECK} and \texttt{SPECK} are incompatible, i.e. there are no right pairs that follow the expected propagation of the differences for the trail. Also, for compatible trails, the proposed approach can efficiently speed up the search process of finding the exact value of a weak-key from the target weak-key space. For example, in one of the reported 14-round RX trails of \texttt{SPECK}, the probability of a key pair to be a weak-key is $2^{-94.91}$ when the whole key space is $2^{96}$; our method can find a key pair for it in a comparatively short time. It is worth noting that it was impossible to find this key pair using a traditional search. As another result, we apply the proposed method %and consider a search strategy for the framework of to \texttt{SPECK} block cipher, to construct longer related-key differential trails of \texttt{SPECK} which we could reach 15, 16, 17, and 19 rounds for \texttt{SPECK32/64}, \texttt{SPECK48/96}, \texttt{SPECK64/128}, and \texttt{SPECK128/256}, respectively. It should be compared with the best previous results which are 12, 15, 15, and 20 rounds, respectively, that both attacks work for a certain weak key class. It should be also considered as an improvement over the reported result of rotational XOR cryptanalysis on \texttt{SPECK}.

We consider the problem of recovering the entries of diagonal matrices $\{U_a\}_a$ for $a = 1,\ldots,t$ from multiple ``incomplete'' samples $\{W_a\}_a$ of the form $W_a=PU_aQ$, where $P$ and $Q$ are unknown matrices of low rank. We devise practical algorithms for this problem depending on the ranks of $P$ and $Q$. This problem finds its motivation in cryptanalysis: we show how to significantly improve previous algorithms for solving the approximate common divisor problem and breaking CLT13 cryptographic multilinear maps.

The COVID-19 pandemic is a severe threat to both lives and economics throughout the world. Advanced information technology can play an important role to win this war against this invisible enemy. The most effective way to fight COVID-19 is quarantining infected people and identifying their contacts. Recently, quite a few Bluetooth-based contact tracing proposals have been proposed to identify who has come into contact with infected people. The success of a contact tracing system depends on multiple factors, including security and privacy features, simplicity and user-friendliness etc. More importantly, it should help the health authority to effectively enforce contact tracing, so as to control spreading of the vital virus as soon as possible. However, current proposals are either susceptible to security and privacy attacks, or expensive in computation and/or communication costs. In this paper, we propose ContactChaser, a simple but effective contact tracing scheme based on group signature, to achieve strong security and privacy protection for users. ContactChaser only requires a health authority to issue group private keys to users for only once, without frequently updating keys with the authority. It helps the authority to find out the close contacts of infected people, but just leaks the minimum information necessary for contact tracing to the health authority. Specially, the contact relationship is protect against the authority, which only knows the close contacts of infected people. ContactChaser is able to prevent most attacks, especially relay and replay attacks, so that it can effectively avoid false alerts and reduce unreported contacts. We give a detailed analysis of ContactChaser’s security and privacy properties as well as its performance. It is expected ContactChaser can contribute to the design and development of contact tracing schemes.

This paper formulates, and studies, the problem of property transference in dual-mode NIZKs. We say that a property P (such as soundness, ZK or WI) transfers, if, one of the modes having P allows us to prove that the other mode has the computational analogue of P, as a consequence of nothing but the indistinguishability of the CRSs in the two modes. Our most interesting finding is negative; we show by counter-example that the form of soundness that seems most important for applications fails to transfer. On the positive side, we develop a general framework that allows us to show that zero knowledge, witness indistinguishability, extractability and weaker forms of soundness do transfer. Our treatment covers conventional, designated-verifier and designated-prover NIZKs in a unified way.

In this paper, we present a key exchange protocol in which Alice and Bob have secret keys given by quadric surfaces embedded in a large ambient space by means of the Veronese embedding and public keys given by hyperplanes containing the embedded quadrics. Both of them reconstruct the isomorphism class of the intersection which is a curve of genus 1, which is uniquely determined by the j-invariant. An eavesdropper, to find this j-invariant, has to solve problems which are conjecturally quantum resistant.

This paper will outline, for the first time, exactly how the ITM Attack (a linkability attack against shielded transactions) works against Zcash Protocol and how Hush is the first cryptocoin with a defensive mitigation against it, called ”Sietch ”. Sietch is already running live in production and undergoing rounds of improvement from expert feedback. This is not an academic paper about pipedreams. It describes production code and networks. We begin with a literature review of all known metadata attack methods that can be used against Zcash Protocol blockchains. This includes their estimated attack costs and threat model. This paper then describes the ”ITM Attack” which is a specific instance of a new class of metadata attacks against blockchains which the author describes as Metaverse Metadata Attacks . The paper then explains Sietch in detail, which was a response to these new attacks. We hope this new knowledge and theory helps cryptocoins increase their defenses against very well-funded adversaries including nation states and chain analysis companies. A few other new privacy issues and metadata attacks against Zcash Protocol coins will also be enumerated for the first time publicly. The ideas in this paper apply to all cryptocoins which utilize transaction graphs, which is to say just about all known coins. Specifically, the Metaverse Metadata class of attacks is applicable to all Bitcoin source code forks (including Dash, Verge, Zerocoin and their forks), CryptoNote Protocol coins (Monero and friends) and MimbleWimble Protocol (Grin, Beam, etc) coins but these will not be addressed here other than a high-level description of how to apply these methods to those chains. In privacy zdust we trust. If dust can attack us, dust can protect us. – Sietch Mottos

Blockchains systems evolve in complex environments that mix classical patterns of faults (e.g crash faults, transient faults, Byzantine faults, churn) with selfish, rational or irrational behaviors typical to economical systems. In this paper we propose a game theoretical framework in order to formally characterize the robustness of blockchains systems in terms of resilience to rational deviations and immunity to Byzantine behaviors. Our framework includes necessary and sufficient conditions for checking the immunity and resilience of games and a new technique for composing games that preserves the robustness of individual games. We prove the practical interest of our formal framework by characterizing the robustness of three different protocols popular in blockchain systems: a HTLC-based payment scheme (a.k.a. Lightning Network), a side-chain protocol and a cross-chain swap protocol.

In this short note, we address a common misconception at the interface of probability theory and public-key cryptography.

We show it is possible to build an RSA-type cryptosystem by utilizing \textit{probable primes to base 2} numbers. Our modulus $N$ is the product $n\cdot m$ of such numbers (so here both prime and some composite, e.g. Carmichael or Fermat, numbers are acceptable) instead of prime numbers. Moreover, we require for $n$ and $m$ to be co-prime only, and so we don't have to worry about whether any of the numbers $n, m$ is composite or not. The encryption and decryption processes are similar as those in the RSA. Hence, in this cryptosystem we may apply the above kind of numbers of arbitrary length being still sure that the system works well. The price for that is not so high: the size of a message $M$ (as a number) permitted by the new system must be smaller than log (in base 2) of $n\cdot m$. The proposed cryptosystem can be applied in the case the numbers $n,m$ are 'sufficiently large' for a user, or as a completion of the classical RSA if $m,n$ are probable primes but possibly not prime, or in a 'secret sharing'-type cryptosystem. The numbers $n,m$ can be also taken from a narrower class of probable primes to base 2 numbers, e.g., Euler, or strong, or Baillie-PSW.

Private Set Intersection (PSI) enables two parties, each holding a private set to securely compute their intersection without revealing other information. This paper considers settings of secure statistical computations over PSI, where both parties hold sets containing identifiers with one of the parties having an additional positive integer value associated with each of the identifiers in her set. The main objective is to securely compute some desired statistics of the associated values for which its corresponding identifiers occur in the intersection of the two sets. This is achieved without revealing the identifiers of the set intersection. In this paper, we present protocols which enable the secure computations of statistical functions over PSI, which we collectively termed PSI-Stats. Implementations of our constructions are also carried out based on simulated datasets as well as on actual datasets in the business use cases that we defined, in order to demonstrate practicality of our solution. PSI-Stats incurs 5x less monetary cost compared to the current state-of-the-art circuit-based PSI approach due to Pinkas et al. (EUROCRYPT'19). Our solution is more tailored towards business applications where monetary cost is the primary consideration.

Updatable encryption schemes allow for key rotation on ciphertexts. A client outsourcing storage of encrypted data to a cloud server can change its encryption key. The cloud server can update the stored ciphertexts to the new key using only a token provided by the client. This paper solves two open problems in updatable encryption, that of uni-directional vs. bi-directional updates, and post-quantum security. The main result in this paper is to analyze the security notions based on uni- and bi-directional updates. Surprisingly, we prove that uni- and bi-directional variants of each security notion are equivalent. The second result in this paper is to provide a new and efficient updatable encryption scheme based on the Decisional Learning with Error assumption. This gives us post-quantum security. Our scheme is bi-directional, but because of our main result, this is sufficient.

The concept of quantum bit commitment was introduced in the early 1980s for the purpose of basing bit commitments solely on principles of quantum theory. Unfortunately, such unconditional quantum bit commitments still turn out to be impossible. As a compromise like in classical cryptography, Dumais et al. [DMS00] introduce the conditional quantum bit commitments that additionally rely on complexity assumptions. However, in contrast to classical bit commitments which are widely used in classical cryptography, up until now there is relatively little work towards studying the application of quantum bit commitments in quantum cryptography. This may be partly due to the well-known weakness of the general quantum binding that comes from the possible superposition attack of the sender of quantum commitments, making it unclear whether quantum commitments could be useful in quantum cryptography. In this work, following Yan et al. [YWLQ15] we continue studying using (canonical non-interactive) perfectly/statistically-binding quantum bit commitments as the drop-in replacement of classical bit commitments in some well-known constructions. Specifically, we show that the (quantum) security can still be established for zero-knowledge proof, oblivious transfer, and proof-of-knowledge. In spite of this, we stress that the corresponding security analyses are by no means trivial extensions of their classical analyses; new techniques are needed to handle possible superposition attacks by the cheating sender of quantum bit commitments. Since (canonical non-interactive) statistically-binding quantum bit commitments can be constructed from quantum-secure one-way functions, we hope using them (as opposed to classical commitments) in cryptographic constructions can reduce the round complexity and weaken the complexity assumption simultaneously.

Private set intersection and related functionalities are among the most prominent real-world applications of secure multiparty computation. While such protocols have attracted significant attention from the research community, other functionalities are often required to support a PSI application in practice. For example, in order for two parties to run a PSI over the unique users contained in their databases, they might first invoke on a support functionality to agree on the primary keys to represent their users. This paper studies a secure approach to agreeing on primary keys. We introduce and realize a functionality that computes a common set of identifiers based on incomplete information held by two parties, which we refer to as private identity agreement. We explain the subtleties in designing such a functionality that arise from privacy requirements when intending to compose securely with PSI protocols. We also argue that the cost of invoking this functionality can be amortized over a large number of PSI sessions, and that for applications that require many repeated PSI executions, this represents an improvement over a PSI protocol that directly uses incomplete or fuzzy matches.

We study the security of CTR-DRBG, one of NIST's recommended Pseudorandom Number Generator (PRNG) designs. Recently, Woodage and Shumow (Eurocrypt' 19), and then Cohney et al. (S&P' 20) point out some potential vulnerabilities in both NIST specification and common implementations of CTR-DRBG. While these researchers do suggest counter-measures, the security of the patched CTR-DRBG is still questionable. Our work fills this gap, proving that CTR-DRBG satisfies the robustness notion of Dodis et al. (CCS'13), the standard security goal for PRNGs.

Consider a sender S and a group and of n recipients. S holds a secret message m of length l bits and the goal is to allow S to create a secret sharing of m with privacy threshold t among the recipients, by broadcasting a single message c to the recipients. Our goal is to do this with information theoretic security in a model with a simple form of correlated randomness. Namely, for each subset A of recipients of size q, S may share a secret random bit string with all recipients in A. We call this Broadcast Secret-Sharing (BSS) with parameters l, n, t and q. Our main question is: how large must c be, as a function of the parameters? We show that l(n-t)/q is a lower bound, and we show an upper bound of l((n(t+1))/(q+t)-t), matching the lower bound whenever t = 0, or when q = 1 or n-t. When q = n-t, the size of c is exactly l which is clearly minimal. The protocol demonstrating the upper bound in this case requires S to share a key with every subset of size n-t. We show that this overhead cannot be avoided when c has minimal size. We also show that if access is additionally given to an idealized PRG, the lower bound on ciphertext size becomes (k(n-t)/q)+l-negl(k) (where k is the length of the input to the PRG). The upper bound becomes k((n(t+1))/(q+t)-t)+l. BSS can be applied directly to secret-key threshold encryption. We can also consider a setting where the correlated randomness is generated using computationally secure and non-interactive key exchange, where we assume that each recipient has an (independently generated) public key for this purpose. In this model, any protocol for non-interactive secret sharing becomes an ad hoc threshold encryption (ATE) scheme, which is a threshold encryption scheme with no trusted setup beyond a PKI. Our upper bounds imply new ATE schemes, and our lower bound becomes a lower bound on the ciphertext size in any ATE scheme that uses a key exchange functionality and no other cryptographic primitives.

A proof of replication system is a cryptographic primitive that allows a server (or group of servers) to prove to a client that it is dedicated to storing multiple copies or replicas of a file. Until recently, all such protocols required fined-grained timing assumptions on the amount of time it takes for a server to produce such replicas. Damgård, Ganesh, and Orlandi (CRYPTO' 19) proposed a novel notion that we will call proof of replication with client setup. Here, a client first operates with secret coins to generate the replicas for a file. Such systems do not inherently have to require fine-grained timing assumptions. At the core of their solution to building proofs of replication with client setup is an abstraction called replica encodings. Briefly, these comprise a private coin scheme where a client algorithm given a file $m$ can produce an encoding $\sigma$. The encodings have the property that, given any encoding $\sigma$, one can decode and retrieve the original file $m$. Secondly, if a server has significantly less than $n \cdot |m|$ bit of storage, it cannot reproduce $n$ encodings. The authors give a construction of encodings from ideal permutations and trapdoor functions. In this work, we make three central contributions: 1) Our first contribution is that we discover and demonstrate that the security argument put forth by DGO19 is fundamentally flawed. Briefly, the security argument makes assumptions on the attacker's storage behavior that does not capture general attacker strategies. We demonstrate this issue by constructing a trapdoor permutation which is secure assuming indistinguishability obfuscation, serves as a counterexample to their claim (for the parameterization stated). 2) In our second contribution we show that the DGO19 construction is actually secure in the ideal permutation model from any trapdoor permutation when parameterized correctly. In particular, when the number of rounds in the construction is equal to $\lambda \cdot n \cdot b$ where $\lambda$ is the security parameter, $n$ is the number of replicas and $b$ is the number of blocks. To do so we build up a proof approach from the ground up that accounts for general attacker storage behavior where we create an analysis technique that we call ``sequence-then-switch''. 3) Finally, we show a new construction that is provably secure in the random oracle (or random function) model. Thus requiring less structure on the ideal function.

Identity-based encryption (IBE) is a generalization of public-key encryption (PKE) by allowing encryptions to be made to user identities. In this work, we seek to obtain IBE schemes that achieve key-dependent-message (KDM) security with respect to messages that depend on the master secret key. Previous KDM-secure schemes only achieved KDM security in simpler settings, in which messages may only depend on user secret keys. An important motivation behind studying master-KDM security is the application of this notion in obtaining generic constructions of KDM-CCA secure PKE, a primitive notoriously difficult to realize. We give the first IBE that achieves master-KDM security from standard assumptions in pairing groups. Our construction is modular and combines techniques from KDM-secure PKE based from hash-proof systems, together with IBE that admits a tight security proof in the multi-challenge setting, which happens to be unexpectedly relevant in the context of KDM security. In fact, to the best of our knowledge, this is the first setting where techniques developed in the context of realizing tightly secure cryptosystems have led to a new feasibility result. As a byproduct, our KDM-secure IBE, and thus the resulting KDM-CCA-secure PKE both enjoy a tight security reduction, independent of the number of challenge ciphertexts, which was not achieved before.

Although it is one of the most popular signature schemes today, ECDSA presents a number of implementation pitfalls, in particular due to the very sensitive nature of the random value (known as the nonce) generated as part of the signing algorithm. It is known that any small amount of nonce exposure or nonce bias can in principle lead to a full key recovery: the key recovery is then a particular instance of Boneh and Venkatesan's hidden number problem (HNP). That observation has been practically exploited in many attacks in the literature, taking advantage of implementation defects or side-channel vulnerabilities in various concrete ECDSA implementations. However, most of the attacks so far have relied on at least 2 bits of nonce bias (except for the special case of curves at the $80$-bit security level, for which attacks against $1$-bit biases are known, albeit with a very high number of required signatures). In this paper, we uncover LadderLeak, a novel class of side-channel vulnerabilities in implementations of the Montgomery ladder used in ECDSA scalar multiplication. The vulnerability is in particular present in several recent versions of OpenSSL. However, it leaks less than $1$ bit of information about the nonce, in the sense that it reveals the most significant bit of the nonce, but with probability $<1$. Exploiting such a mild leakage would be intractable using techniques present in the literature so far. However, we present a number of theoretical improvements of the Fourier analysis approach to solving the HNP (an approach originally due to Bleichenbacher), and this lets us practically break LadderLeak-vulnerable ECDSA implementations instantiated over the sect163r1 and NIST P-192 elliptic curves. In so doing, we achieve several significant computational records in practical attacks against the HNP.

Electronic cash (e-cash) was introduced 40 years ago as the digital analogue of traditional cash. It allows users to withdraw electronic coins that can be spent anonymously with merchants. As advocated by Camenisch et al. (Eurocrypt 2005), it should be possible to store the withdrawn coins compactly (i.e., with logarithmic cost in the total number of coins), which has led to the notion of compact e-cash. Many solutions were proposed for this problem but the security proofs of most of them were invalidated by a very recent paper by Bourse et al. (Asiacrypt 2019). The same paper describes a generic way of fixing existing constructions/proofs but concrete instantiations of this patch are currently unknown in some settings. In particular, compact e-cash is no longer known to exist under quantum-safe assumptions. In this work, we resolve this problem by proposing the first secure compact e-cash system based on lattices following the result from Bourse et al. Contrarily to the latter work, our construction is not only generic, but we describe two concrete instantiations. We depart from previous frameworks of e-cash systems by leveraging lossy trapdoor functions to construct our coins. The indistinguishability of lossy and injective keys allows us to avoid the very strong requirements on the involved pseudo-random functions that were necessary to instantiate the generic patch proposed by Bourse et al.

We propose two new supersingular isogeny-based public key encryptions: SiGamal and C-SiGamal. They were developed by giving an additional point of the order $2^r$ to CSIDH. SiGamal is similar to ElGamal encryption, while C-SiGamal is a compressed version of SiGamal. We prove that SiGamal and C-SiGamal are IND-CPA secure without using hash functions under a new assumption: the P-CSSDDH assumption. This assumption comes from the expectation that no efficient algorithm can distinguish between a random point and a point that is the image of a public point under a hidden isogeny. Next, we propose a Naor-Reingold type pseudo random function (PRF) based on SiGamal. If the P-CSSDDH assumption and the CSSDDH$^*$ assumption, which guarantees the security of CSIDH that uses a prime $p$ in the setting of SiGamal, hold, then our proposed function is a pseudo random function. Moreover, we estimate that the computational costs of group actions to compute our proposed PRF are about $\sqrt{\frac{8T}{3\pi}}$ times that of the group actions in CSIDH, where $T$ is the Hamming weight of the input of the PRF. Finally, we experimented with group actions in SiGamal and C-SiGamal. The computational costs of group actions in SiGamal-512 with a $256$-bit plaintext message space were about $2.62$ times that of a group action in CSIDH-512.

A popular cryptographic option to implement Hierarchical Access Control in organizations is to combine a key assignment scheme with a symmetric encryption scheme. In brief, key assignment associates with each object in the hierarchy a unique symmetric key, and provides all higher-ranked authorized subjects with a method to recover it. This setup allows for encrypting the payloads associated with the objects so that they can be accessed by the authorized and remain inaccessible for the unauthorized. Both key assignment and symmetric encryption have been researched for roughly four decades now, and a plethora of efficient constructions have been the result. Surprisingly, a treatment of the joint primitive (key assignment combined with encryption, as used in practice) in the framework of provable security was conducted only very recently, leading to a publication in ToSC 2018(4). We first carefully revisit this publication. We then argue that there are actually two standard use cases for the combined primitive, which also require individual treatment. We correspondingly propose a fresh set of security models and provably secure constructions for each of them. Perhaps surprisingly, the two constructions call for different symmetric encryption primitives: While standard AEAD is the right tool for the one, we identify a less common tool called Encryptment as best fitting the other.

New primes were proposed for Supersingular Isogeny Key Encapsulation (SIKE) in NIST standardization process of Round 2 after further cryptanalysis research showed that the security levels of the initial primes chosen were over-estimated. In this paper, we develop a highly optimized $\mathbb{F}_{p}$ Montgomery multiplication algorithm and architecture that further utilizes the special form of SIKE prime compared to previous implementations available in the literature. We then implement SIKE for all Round 2 NIST security levels (SIKEp434 for NIST security level 1, SIKEp503 for NIST security level 2, SIKEp610 for NIST security level 3, and SIKEp751 for NIST security level 5) on Xilinx Virtex 7 using the proposed multiplier. Our best implementation (NIST security level 1) runs 29\% faster and occupies 30\% less hardware resources in comparison to the leading counterpart available in the literature and implementations for other security levels achieved similar improvement.

We show how to construct new multilinear maps from subexponentially secure indistinguishability obfuscation (iO) and standard assumptions. In particular, we show how to construct multilinear maps with arbitrary predetermined degree of multilinearity where each of the following assumptions hold: SXDH, exponent-DDH (for both symmetric and asymmetric multilinear maps), and all other assumptions implied by these assumptions (including k-party-DDH and k-Lin and its variants). Our constructions almost identically achieve the full functionality of the “dream version” definition of multilinear maps as defined in the initial work of Garg et al. (Eurocrypt’13). Our work substantially extends a previous line of works including that of Albrecht et al. (TCC’16) and Farshim et al. (PKC’18), which showed how to build multilinear maps endowed with weaker assumptions (such as multilinear DDH and other related assumptions) from iO. Coupled with the exciting breakthrough work of Jain et al. (STOC’21), which shows how to build iO from well-founded assumptions, and the works of Gay et al. (STOC’21) and Brakerski et al., which show how to build iO from circular security assumptions, our work can be used to build strong multilinear maps from such assumptions. This at least partially solves another long-standing open problem about the existence of cryptographic multilinear maps for degree > 2. Moreover, a number of works have shown how to build iO from multilinear maps endowed with hardness assumptions; one example would be the work of Lin and Tessaro (Crypto’17) which shows how to construct iO from subexponentially secure SXDH-hard multilinear maps and some (subexponentially secure) plausible assumptions. Coupled with any one of these constructions, our results here can be seen as formally proving the equivalence of iO and multilinear maps/graded encodings (modulo subexponential reductions and standard assumptions, some of which must have subexponential security) for the first time. Finally, our results also establish the equivalence of many multilinear maps of different degrees and even with different assumptions (again modulo subexponential reductions and other relatively standard assumptions): if a multilinear map is powerful enough to build iO, then it can also be used to build all of the maps that we construct here.

Cryptographic protections are ubiquitous in information technology, including the emerging Internet of Things (IoT). As a result of technology migration to a resource-challenged landscape and new threats to cryptographic security, governments and industry are exploring new cryptographic algorithms. While new standards will emerge, however, old standards will not disappear for the time being. It is therefore important to explore platforms where multiple cryptographic deployments can be dynamically interchanged and even share resources. In this research we build on the Development Package for the Applications Programming Interface for Hardware Implementations of Lightweight Cryptography (DP API HW LWC). In this construct, developers design hardware implementations of authenticated encryption with associated data (AEAD) inside a cryptographic core (CryptoCore) encapsulated by input/output utilities. While CryptoCore is intended for single register-transfer level (RTL) implementations, we install a custom-designed soft core microprocessor inside CryptoCore to run underlying block ciphers, along with a shell to facilitate AEAD processing. Through dynamic loading and execution of block ciphers on the core, we demonstrate a single LWC deployment on an Artix-7 FPGA, capable of executing 3 NIST LWC Standardization Process Round 2 AEAD candidates (COMET-AES, COMET-CHAM and GIFT-COFB) using only 55% of the combined area of separate RTL implementations of the same ciphers.

The bit-sliding paper of Jean et al. (CHES 2017) showed that the smallest-size circuit for SPN based block ciphers such as AES, SKINNY and PRESENT can be achieved via bit-serial implementations. Their technique decreases the bit size of the datapath and naturally leads to a significant loss in latency (as well as the maximum throughput). Their designs complete a single round of the encryption in 168 (resp. 68) clock cycles for 128 (resp. 64) bit blocks. A follow-up work by Banik et al. (FSE 2020) introduced the swap-and-rotate technique that both eliminates this loss in latency and achieves even smaller footprints. In this paper, we extend these results on bit-serial implementations all the way to four authenticated encryption schemes from NIST LWC. Our first focus is to decrease latency and improve throughput with the use of the swap-and-rotate technique. Our block cipher implementations have the most efficient round operations in the sense that a round function of an $n$-bit block cipher is computed in exactly $n$ clock cycles. This leads to implementations that are similar in size to the state of the art, but have much lower latency (savings up to 20 percent). We then extend our technique to 4- and 8-bit implementations. Although these results are promising, block ciphers themselves are not end-user primitives, as they need to be used in conjunction with a mode of operation. Hence, in the second part of the paper, we use our serial block ciphers to bootstrap four active NIST authenticated encryption candidates: SUNDAE-GIFT, Romulus, SAEAES and SKINNY-AEAD. In the wake of this effort, we provide the smallest block-cipher-based authenticated encryption circuits known in the literature so far.

The selection criteria for NIST's Lightweight Crypto Standardization (LWC) have been slowly shifting towards the lightweight efficiency of designs, given that a large number of candidates already establish their security claims on conservative, well-studied paradigms. The research community has accumulated a decent level of experience on authenticated encryption primitives, thanks mostly to the recently completed CAESAR competition, with the advent of the NIST LWC, the de facto focus is now on evaluating efficiency of the designs with respect to hardware metrics like area, throughput, power and energy. In this paper, we focus on a less investigated metric under the umbrella term lightweight, i.e. energy consumption. Quantitatively speaking, energy is the sum total electrical work done by a voltage source and thus is a critical metric of lightweight efficiency. Among the thirty-two second round candidates, we give a detailed evaluation of the ten that only make use of a lightweight or semi-lightweight block cipher at their core. We use this pool of candidates to investigate a list of generic implementation choices that have considerable effect on both the size and the energy consumption of modes of operation circuit, which function as an authenticated encryption primitive. Besides providing energy and circuit size metrics of these candidates, our results provide useful insights for designers who wish to understand what particular choices incur significant energy consumption in AEAD schemes. In the second part of the paper we shift our focus to threshold implementations that offer protection against first order power analysis attacks. There has been no study focusing on energy efficiency of such protected implementations and as such the optimizations involved in such circuits are not well established. We explore the simplest possible protected circuit: the one in which only the state path of the underlying block cipher is shared, and we explore how design choices like number of shares, implementation of the masked s-box and the circuit structure of the AEAD scheme affect the energy consumption.

A weak pseudorandom function $F: \mathcal{K} \times \mathcal{X} \rightarrow \mathcal{Y}$ is said to be ring key-homomorphic if, given $F \left(k_{1}, x \right)$ and $F \left(k_{2}, x \right)$, there are efficient algorithms to compute $F \left(k_{1} \oplus k_{2}, x \right)$ and $F \left(k_{1} \otimes k_{2}, x \right)$ where $\oplus$ and $\otimes$ are the addition and multiplication operations in the ring $\mathcal{K}$, respectively. In this work, we initiate the study of ring key-homomorphic weak PRFs (RKHwPRFs). As our main result, we show that any RKHwPRF implies multiparty noninteractive key exchange (NIKE) for an arbitrary number of parties in the standard model. Our analysis of RKHwPRFs in a sense takes a major step towards the goal of building cryptographic primitives from Minicrypt primitives with structure, which has been studied in a recent line of works. With our result, most of the well-known asymmetric cryptographic primitives can be built from a weak PRF with either a group or ring homomorphism over either the input space or the key space.

This paper introduces LUSA - the Lattice Unified Set of Algorithms library - a C++ library that comprises many high performance, parallel implementations of lattice algorithms, with particular focus on lattice-based cryptanalysis. Currently, LUSA offers algorithms for lattice reduction and the SVP. % and the CVP. LUSA was designed to be 1) simple to install and use, 2) have no other dependencies, 3) be designed specifically for lattice-based cryptanalysis, including the majority of the most relevant algorithms in this field and 4) offer efficient, parallel and scalable methods for those algorithms. LUSA explores paralellism mainly at the thread level, being based on OpenMP. However the code is also written to be efficient at the cache and operation level, taking advantage of carefully sorted data structures and data level parallelism. This paper shows that LUSA delivers these promises, by being simple to use while consistently outperforming its counterparts, such as NTL, plll and fplll, and offering scalable, parallel implementations of the most relevant algorithms to date, which are currently not available in other libraries.

Oblivious RAM (ORAM) is a technique for compiling any RAM program to an oblivious counterpart, i.e., one whose access patterns do not leak information about the secret inputs. Similarly, Oblivious Parallel RAM (OPRAM) compiles a {\it parallel} RAM program to an oblivious counterpart. In this paper, we care about ORAM/OPRAM with {\it perfect security}, i.e., the access patterns must be {\it identically distributed} no matter what the program's memory request sequence is. In the past, two types of perfect ORAMs/OPRAMs have been considered: constructions whose performance bounds hold {\it in expectation} (but may occasionally run more slowly); and constructions whose performance bounds hold {\it deterministically} (even though the algorithms themselves are randomized). In this paper, we revisit the performance metrics for perfect ORAM/OPRAM, and show novel constructions that achieve asymptotical improvements for all performance metrics. Our first result is a new perfectly secure OPRAM scheme with $O(\log^3 N/\log \log N)$ {\it expected} overhead. In comparison, prior literature has been stuck at $O(\log^3 N)$ for more than a decade. Next, we show how to construct a perfect ORAM with $O(\log^3 N/\log \log N)$ {\it deterministic} simulation overhead. We further show how to make the scheme parallel, resulting in an perfect OPRAM with $O(\log^4 N/\log \log N)$ {\it deterministic} simulation overhead. For perfect ORAMs/OPRAMs with deterministic performance bounds, our results achieve {\it subexponential} improvement over the state-of-the-art. Specifically, the best known prior scheme incurs more than $\sqrt{N}$ deterministic simulation overhead (Raskin and Simkin, Asiacrypt'19); moreover, their scheme works only for the sequential setting and is {\it not} amenable to parallelization. Finally, we additionally consider perfect ORAMs/OPRAMs whose performance bounds hold with high probability. For this new performance metric, we show new constructions whose simulation overhead is upper bounded by $O(\log^3 /\log\log N)$ except with negligible in $N$ probability, i.e., we prove high-probability performance bounds that match the expected bounds mentioned earlier.

We propose a new approach for building efficient, provably secure, and practically hardened implementations of masked algorithms. Our approach is based on a Domain Specific Language in which users can write efficient assembly implementations and fine-grained leakage models. The latter are then used as a basis for formal verification, allowing for the first time formal guarantees for a broad range of device-specific leakage effects not addressed by prior work. The practical benefits of our approach are demonstrated through a case study of the PRESENT S-Box: we develop a highly optimized and provably secure masked implementation, and show through practical evaluation based on TVLA that our implementation is practically resilient. Our approach significantly narrows the gap between formal verification of masking and practical security.

Public permutations have been established as important primitives for the purpose of designing cryptographic schemes. While many such schemes for authentication and encryption have been proposed in the past decade, the birthday bound in terms of the primitive's block length $n$ has been mostly accepted as the standard security goal. Thus, remarkably little research has been conducted yet on permutation-based modes with higher security guarantees. At CRYPTO'19, Chen et al. showed two constructions with higher security based on the sum of two public permutations. Their work has sparked increased interest in this direction by the community. However, since their proposals were domain-preserving, the question of encryption schemes with beyond-birthday-bound security was left open. This work tries to address this gap by proposing $\textsf{CENCPP}^*$, a nonce-based encryption scheme from public permutations. Our proposal is a variant of Iwata's block-cipher-based mode \textsf{CENC} that we adapt for public permutations, thereby generalizing Chen et al.'s Sum-of-Even-Mansour construction to a mode with variable output lengths. Like \textsf{CENC}, our proposal enjoys a comfortable rate-security trade-off that needs $w + 1$ calls to the primitive for $w$ primitive outputs. We show a tight security level for up to $O(2^{2n/3}/w^2)$ primitive calls. While the term of $w \geq 1$ can be arbitrary, two independent keys suffice. Beyond our proposal of $\textsf{CENCPP}^*$ in a generic setting with $w + 1$ independent permutations, we show that only $\log_2(w + 1)$ bits of the input for domain separation suffice to obtain a single-permutation variant with a security level of up to $O(2^{2n/3}/w^4)$ queries.

Nakamoto invented the longest chain protocol, and claimed its security by analyzing the private double-spend attack, a race between the adversary and the honest nodes to grow a longer chain. But is it the worst attack? We answer the question in the affirmative for three classes of longest chain protocols, designed for different consensus models: 1) Nakamoto's original Proof-of-Work protocol; 2) Ouroboros and SnowWhite Proof-of-Stake protocols; 3) Chia Proof-of-Space protocol. As a consequence, exact characterization of the maximum tolerable adversary power is obtained for each protocol as a function of the average block time normalized by the network delay. The security analysis of these protocols is performed in a unified manner by a novel method of reducing all attacks to a race between the adversary and the honest nodes.

In multi-party threshold private set intersection (PSI), $n$ parties each with a private set wish to compute the intersection of their sets if the intersection is sufficiently large. Previously, Ghosh and Simkin (CRYPTO 2019) studied this problem for the two-party case and demonstrated interesting lower and upper bounds on the communication complexity. In this work, we investigate the communication complexity of the multi-party setting $(n\geq 2)$. We consider two functionalities for multi-party threshold PSI. In the first, parties learn the intersection if each of their sets and the intersection differ by at most $T$. In the second functionality, parties learn the intersection if the union of all their sets and the intersection differ by at most $T$. For both functionalities, we show that any protocol must have communication complexity $\Omega(nT)$. We build protocols with a matching upper bound of $O(nT)$ communication complexity for both functionalities assuming threshold FHE. We also construct a computationally more efficient protocol for the second functionality with communication complexity $\widetilde{O}(nT)$ under a weaker assumption of threshold additive homomorphic encryption. As a direct implication, we solve one of the open problems in the work of Ghosh and Simkin (CRYPTO 2019) by designing a two-party protocol with communication cost $\widetilde{O}(T)$ from assumptions weaker than FHE. As a consequence of our results, we achieve the first ``regular'' multi-party PSI protocol where the communication complexity only grows with the size of the set difference and does not depend on the size of the input sets.

We revisit the problem of two-party private set intersection for aggregate computation which we refer to as private matching for compute. In this problem, two parties want to perform various downstream computation on the intersection of their two datasets according to a previously agreed-upon identifier. We observe that prior solutions to this problem have important limitations. For example, any change or update to the records in either party's dataset triggers a rerun of the private matching component; and it is not clear how to support a streaming arrival of one party's set in small batches without revealing the match rate for each individual batch. We introduce two new formulations of the private matching for compute problem meeting these requirements, called private-ID and streaming private secret shared set intersection, and design new DDH-based constructions for both. Our implementation shows that when taking advantage of the inherent parallelizability of these solutions, we can execute the matching for datasets of size upto 100 million records within an hour.

In this paper we cryptanalyse the two accumulator variants proposed by Au et al., namely the $a$-based construction and the reference string-based ($RS$-based) construction. We show that if non-membership witnesses are issued according to the $a$-based construction, colluding users can efficiently discover the secret accumulator parameter $a$ and takeover the Accumulator Manager. More precisely, if $p$ is the order of the underlying bilinear group, the knowledge of $O(log(p)loglog(p))$ non-membership witnesses permits to successfully recover $a$. Further optimizations and different attack scenarios allow to reduce the number of required witnesses to $O(log(p))$, together with practical attack complexity. Moreover, we show that accumulator collision resistance can be broken if just one of these non-membership witnesses is known to the attacker. In the case when non-membership witnesses are issued using the $RS$-based construction (with $RS$ kept secret by the Manager), we show that a group of colluding users can reconstruct the $RS$ and compute witnesses for arbitrary new elements. In particular, if the accumulator is initialized by adding $m$ secret elements, $m$ colluding users that share their non-membership witnesses will succeed in such attack.

In this paper we present a bitstream modification attack on the Trivium cipher, an international standard under ISO/IEC 29192-3. By changing the content of three LUTs in the bitstream, we reduce the non-linear state updating function of Trivium to a linear one. This makes it possible to recover the key from 288 keystream bits using at most $2^{19.41}$ operations. We also propose a countermeasure against bitstream modification attacks which obfuscates the bitstream using dummy and camouflaged LUTs which look legitimate to the attacker. We present an algorithm for injecting dummy LUTs directly into the bitstream without causing any performance or power penalty.

An encryption scheme is called indistinguishable under chosen plaintext attack (short IND-CPA) if an attacker cannot distinguish the encryptions of two messages of his choice. There are other variants of this definition but they all turn out to be equivalent in the classical case. In this paper, we give a comprehensive overview of these different variants of IND-CPA for symmetric encryption schemes in the quantum setting. We investigate the relationships between these notions and prove various equivalences, implications, non-equivalences, and non-implications between these variants.

In Time-Specific Encryption (TSE) [Paterson and Quaglia, SCN'10] system, each secret-key (resp. ciphertext) is associated with a time period t s.t. 0<=t<=T-1 (resp. a time interval [L,R] s.t. 0<=L<=R<=T-1. A ciphertext under [L,R] is correctly decrypted by any secret-key for any time t included in the interval, i.e., L<=t<=R. TSE's generic construction from identity-based encryption (IBE) (resp. hierarchical IBE (HIBE)) from which we obtain a concrete TSE scheme with secret-keys of O(log T)|g| (resp. O(log^2 T)|g|) and ciphertexts of size O(log T)|g| (resp. O(1)|g|) has been proposed in [Paterson and Quaglia, SCN'10] (resp. [Kasamatsu et al., SCN'12]), where |g| denotes bit length of an element in a bilinear group G. In this paper, we propose another TSE's generic construction from wildcarded identity-based encryption (WIBE). Differently from the original WIBE ([Abdalla et al., ICALP'06]), we consider WIBE w/o (hierarchical) key-delegatability. By instantiating the TSE's generic construction, we obtain the first concrete scheme with constant-size secret-keys secure under a standard (static) assumption. Specifically, it has secret-keys of size O(1)|g| and ciphertexts of size O(log^2 T)|g|, and achieves security under the decisional bilinear Diffie-Hellman (DBDH) assumption.

Devising efficient and secure signature schemes based on coding theory is still considered a challenge by the cryptographic community. In this paper, we construct a signature scheme by exploring a new approach to the area. To do this, we design a zero-knowledge identification scheme, which we then render static via standard means (e.g. Fiat-Shamir). We show that practical instances of our protocol have the potential to outperform the state of the art on code-based signatures, achieving small data sizes with a low computational complexity.

Many alt-coins developed in recent years make strong privacy guarantees, claiming to be virtually untraceable. This paper explores the extent to which these claims are true after the first appraisals were made about these coins. In particular, we will investigate Monero (XMR) and Zcash (ZEC), competitors in the private cryptocurrency space. We will test how traceable these currencies are after the most recent security updates, and how they hold up against their claims. We run some traceability experiments based on previously published papers for each coin. Results show that, introducing strict security and anonymity requirements into the cryptocurrency ecosystem makes the coin effectively untraceable, as shown by Monero. On the other hand, Zcash still hesitates to introduce changes that alter user behavior. Despite its strong cryptographic features, transactions are overall more traceable.

Performing machine learning (ML) computation on private data while maintaining data privacy, aka Privacy-preserving Machine Learning (PPML), is an emergent field of research. Recently, PPML has seen a visible shift towards the adoption of the Secure Outsourced Computation (SOC) paradigm due to the heavy computation that it entails. In the SOC paradigm, computation is outsourced to a set of powerful and specially equipped servers that provide service on a pay-per-use basis. In this work, we propose SWIFT, a robust PPML framework for a range of ML algorithms in SOC setting, that guarantees output delivery to the users irrespective of any adversarial behaviour. Robustness, a highly desirable feature, evokes user participation without the fear of denial of service. At the heart of our framework lies a highly-efficient, maliciously-secure, three-party computation (3PC) over rings that provides guaranteed output delivery (GOD) in the honest-majority setting. To the best of our knowledge, SWIFT is the first robust and efficient PPML framework in the 3PC setting. SWIFT is as fast as (and is strictly better in some cases than) the best-known 3PC framework BLAZE (Patra et al. NDSS'20), which only achieves fairness. We extend our 3PC framework for four parties (4PC). In this regime, SWIFT is as fast as the best known fair 4PC framework Trident (Chaudhari et al. NDSS'20) and twice faster than the best-known robust 4PC framework FLASH (Byali et al. PETS'20). We demonstrate our framework's practical relevance by benchmarking popular ML algorithms such as Logistic Regression and deep Neural Networks such as VGG16 and LeNet, both over a 64-bit ring in a WAN setting. For deep NN, our results testify to our claims that we provide improved security guarantee while incurring no additional overhead for 3PC and obtaining 2x improvement for 4PC.

Since Keccak was selected as the SHA-3 standard, more and more permutation-based primitives have been proposed. Different from block ciphers, there is no round key in the underlying permutation for permutation-based primitives. Therefore, there is a higher risk for a differential characteristic of the underlying permutation to become incompatible when considering the dependency of difference transitions over different rounds. However, in most of the MILP or SAT based models to search for differential characteristics, only the difference transitions are involved and are treated as independent in different rounds, which may cause that an invalid one is found for the underlying permutation. To overcome this obstacle, we are motivated to design a model which automatically avoids the inconsistency in the search for differential characteristics. Our technique is to involve both the difference transitions and value transitions in the constructed model. Such an idea is inspired by the algorithm to find SHA-2 characteristics as proposed by Mendel et al. in ASIACRYPT 2011, where the differential characteristic and the conforming message pair are simultaneously searched. As a first attempt, our new technique will be applied to the Gimli permutation, which was proposed in CHES 2017. As a result, we reveal that some existing differential characteristics of reduced Gimli are indeed incompatible, one of which is found in the Gimli document. In addition, since only the permutation is analyzed in the Gimli document, we are lead to carry out a comprehensive study, covering the proposed hash scheme and the authenticated encryption (AE) scheme specified for Gimli, which has become a second round candidate of the NIST lightweight cryptography standardization process. For the hash scheme, a semi-free-start (SFS) collision attack can reach up to 8 rounds starting from an intermediate round. For the AE scheme, a state recovery attack is demonstrated to achieve up to 9 rounds. It should be emphasized that our analysis does not threaten the security of Gimli.

Byzantine Broadcast (BB) is a central question in distributed systems, and an important challenge is to understand its round complexity. Under the honest majority setting, it is long known that there exist randomized protocols that can achieve BB in expected constant rounds, regardless of the number of nodes $n$. However, whether we can match the expected constant round complexity in the corrupt majority setting --- or more precisely, when $f \geq n/2 + \omega(1)$ --- remains unknown, where $f$ denotes the number of corrupt nodes. In this paper, we are the first to resolve this long-standing question. We show how to achieve BB in expected $O((n/(n-f))^2)$ rounds. Our results hold under both a static adversary and a weakly adaptive adversary who cannot perform ``after-the-fact removal'' of messages already sent by a node before it becomes corrupt.

This paper proposes new symmetric cryptoalgorithms of Residue Number System and its Modified Perfect Form. According to the first method, ciphertext is regarded as a set of residues to the corresponding sets of modules (keys) and decryption or decimal number recovery from its residues takes place according to the Chinese remainder theorem. To simplify the calculations, it is proposed to use a Modified Perfect Form of Residue Number System, which leads to a decrease in the number of arithmetic operations (in particular, finding the inverse and multiplying by it) during the decryption process. Another method of symmetric encryption based on the Chinese remainder theorem can be applied when fast decryption is required. In this algorithm, the plaintext block is divided into sub-blocks that are smaller than the corresponding module and serve as remainders on dividing some number, which is a ciphertext, by these modules. Plaintext recovery is based on finding the ciphertext remainders to the corresponding modules. Examples of cryptoalgorithms implementation and their encryption schemes are given. Cryptosecurity of the proposed methods is estimated on the basis of the Prime number theorem and the Euler function. It is investigated which bitness and a number of modules are required for the developed symmetric security systems to ensure the same security level as the largest length key of the AES algorithm does. It is found that as the number of modules increases, their bitness decreases. Graphical dependencies of cryptoanalysis complexity on bitness and a number of modules are built. It is shown that with the increase of specified parameters, the cryptosecurity of the developed methods also increases.

Lattice-based cryptographic scheme is constructed based on hard problems on a lattice such as the short integer solution (SIS) problem and the learning with error (LWE). However, the cryptographic scheme based on SIS or LWE is inefficient since the size of the key is too large. Thus, most cryptographic schemes use the variants of LWE and SIS with ring and module structures. Albrecht and Deo showed that there is a reduction from module-LWE (M-LWE) to ring-LWE (R-LWE) in the polynomial ring (Asiacrypt 2017) by handling the error rate and modulus. However, unlike the LWE problem, the SIS problem does not have an error rate, but there is the upper bound $\beta$ on the norm of the solution of the SIS problem. In this paper, we propose the two novel reductions related to module-SIS (M-SIS) and ring-SIS (R-SIS) on a polynomial ring. We propose (i) the reduction from R-SIS$_{q^{k},m^{k},\beta^{k}}$ to R-SIS$_{q,m,\beta}$ and (ii) the reduction from M-SIS to R-SIS under norm constraint of R-SIS. Combining these two results implies that R-SIS for a specified modulus and number samples is more difficult than M-SIS under norm constraints of R-SIS, which provides the range of possible module ranks for M-SIS.

Modern attribute-based anonymous credential (ABC) systems benefit from special encodings that yield expressive and highly efficient show proofs on logical statements. The technique was first proposed by Camenisch and Groß, who constructed an SRSA-based ABC system with prime-encoded attributes that offers efficient AND, OR and NOT proofs. While other ABC frameworks have adopted constructions in the same vein, the Camenisch-Groß ABC has been the most expressive and asymptotically most efficient proof system to date, even if it was constrained by the requirement of a trusted message-space setup and an inherent restriction to finite-set attributes encoded as primes. In this paper, combining a new set commitment scheme and a SDH-based signature scheme, we present a provably secure ABC system that supports show proofs for complex statements. This construction is not only more expressive than existing approaches, it is also highly efficient under unrestricted attribute space due to its ECC protocols only requiring a constant number of bilinear pairings by the verifier; none by the prover. Furthermore, we introduce strong security models for impersonation and unlinkability under adaptive active and concurrent attacks to allow for the expressiveness of our ABC as well as for a systematic comparison to existing schemes. Given this foundation, we are the first to comprehensively formally prove the security of an ABC with expressive show proofs. Specifically, we prove the security against impersonation under the $q$-(co-)SDH assumption with a tight reduction. Besides the set commitment scheme, which may be of independent interest, our security models can serve as a foundation for the design of future ABC systems.

Various privacy-preserving protocols for exposure notification have been developed across the globe in order to aid in scaling contact tracing efforts during the COVID-19 crisis, a strategy proven to be critical in effectively slowing the spread of infectious disease. Although having a multitude of people working toward a similar goal creates momentum and aids in quality refinement, it also causes confusion for entities hoping to adopt one protocol for application development. This paper compares the protocols component-by-component, accumulating in a comprehensive comparison table so that entities are able to take action based on their priorities.

NewHope is a lattice cryptoscheme based on the Ring Learning With Errors (Ring-LWE) problem, and it has received much attention among the candidates of the NIST post-quantum cryptography standardization project. Recently, there have been key mismatch attacks on NewHope, where the adversary tries to recover the server’s secret key by observing the mismatch of the shared key from chosen queries. At CT-RSA 2019, Bauer et al. first proposed a key mismatch attack on NewHope, and then at ESORICS 2019, Qin et al. proposed an improved version with a success probability of 96.9% using about 880,000 queries. In this paper, we further improve their key mismatch attack on NewHope. First, we reduce the number of queries by adapting the terminating condition to the response from the server using an early abort technique. Next, the success rate of recovering the secret key polynomial is raised by considering the deterministic condition judging its coefficients. Furthermore, the search range of the secret key in Qin et al.’s attack is extended without increasing the number of queries. With the above improvements, to achieve an almost success rate of 97%, about 73% of queries can be reduced compared with Qin et al.’s method. Additionally, the success rate can be improved to 100.0%. In particular, we analyze the trade-off between the cost of queries and the success rate. We show that a lower success rate of 20.9% is available by further reduced queries of 135,000 simultaneously.

With the development of AI systems, services using them expand to various applications. The widespread adoption of AI systems relies substantially on the ability to trust their output. Therefore, it is becoming important for a client to be able to check whether the AI inference services have been correctly calculated. Since the weight value in a CNN model is an asset of service providers, the client should be able to check the correctness of the result without the weight value. Furthermore, when the result is checked by a third party, it should be possible to verify the correctness even without the user’s input data. Fortunately, zero-knowledge Succinct Non-interactive ARguments of Knowledge (zk-SNARKs) allow to verify the result without input and weight values. However, the proving time in zk-SNARKs is too slow to be applied to real AI applications. This paper proposes a new efficient verifiable convolutional neural network (vCNN) framework which accelerates the proving performance tremendously. To increase the proving performance, we propose a new efficient relation representation for convolution equations. While the proving complexity of convolution is O(ln) in the existing zk-SNARK approaches, it reduces to O(l + n) in the proposed approach where l and n denote the size of kernel and the data in CNNs. Experimental results show that the proposed vCNN improves prove performance by 20 fold for a simple MNIST and 18000 fold for VGG16. The security of the proposed scheme is proven formally.

TarGuess-I is a leading targeted password guessing model using users' personally identifiable information(PII) proposed at ACM CCS 2016 by Wang et al. Owing to its superior guessing performance, TarGuess-I has attracted widespread attention in password security. Yet, TarGuess-I fails to capture popular passwords and special strings in passwords correctly. Thus we propose TarGuess-I$ ^+ $: an improved password guessing model, which is capable of identifying popular passwords by generating top-300 most popular passwords from similar websites and grasping special strings by extracting continuous characters from user-generated PII. We conduct a series of experiments on 6 real-world leaked datasets and the results show that our improved model outperforms TarGuess-I by 9.07\% on average with 1000 guesses, which proves the effectiveness of our improvements.