We consider reputation systems in the Universal Composability Framework where users can anonymously rate each others products that they purchased previously. To obtain trustworthy, reliable, and honest ratings, users are allowed to rate products only once. Everybody is able to detect users that rate products multiple times. In this paper we present an ideal functionality for such reputation systems and give an efficient realization that is usable in practical applications.

Authentication and integrity are fundamental security services that are critical for any viable system. However, some of the emerging systems (e.g., smart grids, aerial drones) are delay-sensitive, and therefore their safe and reliable operation requires delay-aware authentication mechanisms. Unfortunately, the current state-of-the-art authentication mechanisms either incur heavy computations or lack scalability for such large and distributed systems. Hence, there is a crucial need for digital signature schemes that can satisfy the requirements of delay-aware applications. In this paper, we propose a new digital signature scheme that we refer to as Compact Energy and Delay-aware Authentication (CEDA). In CEDA, signature generation and verification only require a small-constant number of multiplications and Pseudo Random Function (PRF) calls. Therefore, it achieves the lowest end-to-end delay among its counterparts. Our implementation results on an ARM processor and commodity hardware show that CEDA has the most efficient signature generation on both platforms, while offering a fast signature verification. Among its delay-aware counterparts, CEDA has a smaller private key with a constant-size signature. All these advantages are achieved with the cost of a larger public key. This is a highly favorable trade-off for applications wherein the verifier is not memory-limited. We open-sourced our implementation of CEDA to enable its broad testing and adaptation.

We provide the first verifiable shuffle specifically for fully homomorphic schemes. A verifiable shuffle is a way to ensure that if a node receives and sends encrypted lists, the content will be the same, even though no adversary can trace individual list items through the node. Shuffles are useful in e-voting, traffic routing and other applications. We build our shuffle on the ideas and techniques of Groth's 2010 shuffle, but make necessary modifications for a less ideal setting where the randomness and ciphertexts admit no group structure. The protocol relies heavily on the properties of the so-called gadget matrices, so we have included a detailed introduction to these.

Zero-knowledge proofs of knowledge and fully-homomorphic encryption are two areas that have seen considerable advances in recent years, and these two techniques are used in conjunction in the context of verifiable decryption. Existing solutions for verifiable decryption are aimed at the batch setting, however there are many applications in which there will only be one ciphertext that requires a proof of decryption. The purpose of this paper is to provide a zero-knowledge proof of correct decryption on an FHE ciphertext, which for instance could hold the result of a cryptographic election. We give two main contributions. Firstly, we present a bootstrapping-like protocol to switch from one FHE scheme to another. The first scheme has efficient homomorphic capabilities; the second admits a simple zero-knowledge protocol. To illustrate this, we use the Brakerski et al. (ITCS, 2012) scheme for the former, and Gentry's original scheme (STOC, 2009) for the latter. Secondly, we present a simple one-shot zero-knowledge protocol for verifiable decryption using Gentry's original FHE scheme.

Nowadays it is well known that randomness may fail due to bugs or deliberate randomness subversion. As a result, the security of traditional public-key encryption (PKE) cannot be guaranteed any more. Currently there are mainly three approaches dealing with the problem of randomness failures: deterministic PKE, hedged PKE, and nonce-based PKE. However, these three approaches only apply to different application scenarios respectively. Since the situations in practice are dynamic and very complex, it's almost impossible to predict the situation in which a scheme is deployed, and determine which approach should be used beforehand. In this paper, we initiate the study of hedged security for nonce-based PKE, which adaptively applies to the situations whenever randomness fails, and achieves the best-possible security. Specifically, we lift the hedged security to the setting of nonce-based PKE, and formalize the notion of chosen-ciphertext security against chosen-distribution attacks (IND-CDA2) for nonce-based PKE. By presenting two counterexamples, we show a separation between our IND-CDA2 security for nonce-based PKE and the original NBP1/NBP2 security defined by Bellare and Tackmann (EUROCRYPT 2016). We show two nonce-based PKE constructions meeting IND-CDA2, NBP1 and NBP2 security simultaneously. The first one is a concrete construction in the random oracle model, and the second one is a generic construction based on a nonce-based PKE scheme and a deterministic PKE scheme.

Key-encapsulation mechanisms (KEMs) are a common stepping stone for constructing public-key encryption. Secure KEMs can be built from diverse assumptions, including ones related to integer factorization, discrete logarithms, error correcting codes, or lattices. In light of the recent NIST call for post-quantum secure PKE, the zoo of KEMs that are believed to be secure continues to grow. Yet, on the question of which is the most secure KEM opinions are divided. While using the best candidate might actually not seem necessary to survive everyday life situations, placing a wrong bet can actually be devastating, should the employed KEM eventually turn out to be vulnerable. We introduce KEM combiners as a way to garner trust from different KEM constructions, rather than relying on a single one: We present efficient black-box constructions that, given any set of `ingredient' KEMs, yield a new KEM that is (CCA) secure as long as at least one of the ingredient KEMs is. As building blocks our constructions use cryptographic hash functions and blockciphers. Some corresponding security proofs require idealized models for these primitives, others get along on standard assumptions.

We initiate the study of public-key encryption (PKE) schemes and key-encapsulation mechanisms (KEMs) that retain security even when public parameters (primes, curves) they use may be untrusted and subverted. We define a strong security goal that we call ciphertext pseudo-randomness under parameter subversion attack (CPR-PSA). We also define indistinguishability (of ciphertexts for PKE, and of encapsulated keys from random ones for KEMs) and public-key hiding (also called anonymity) under parameter subversion attack, and show they are implied by CPR-PSA, for both PKE and KEMs. We show that hybrid encryption continues to work in the parameter subversion setting to reduce the design of CPR-PSA PKE to CPR-PSA KEMs and an appropriate form of symmetric encryption. To obtain efficient, elliptic-curve-based KEMs achieving CPR-PSA, we introduce efficiently-embeddable group families and give several constructions from elliptic-curves.

Attribute-based signature (ABS), originally introduced by Maji et al. (CT-RSA'11), represents an essential mechanism to allow for fine-grained authentication. A user associated with an attribute $x$ can sign w.r.t. a given public policy $C$ only if his attribute satisfies $C$, i.e., $C(x)=1$. So far, much effort on constructing bilinear map-based ABS schemes have been made, where the state-of-the-art scheme of Sakai et al. (PKC'16) supports the very wide class of unbounded circuits as policies. However, construction of ABS schemes without bilinear maps are less investigated, where it was not until recently that Tsabary (TCC'17) showed a lattice-based ABS scheme supporting bounded circuits as policies, at the cost of weakening the security requirement. In this work, we affirmatively close the gap between ABS schemes based on bilinear maps and lattices by constructing the first lattice-based ABS scheme for unbounded circuits in the random oracle model. We start our work by providing a generic construction of ABS schemes for unbounded-circuits in the random oracle model, which in turn implies that one-way functions are sufficient to construct ABS schemes. To prove security, we formalize and prove a generalization of the Forking Lemma, which we call "general multi-forking lemma with oracle access", capturing the situation where the simulator is interacting with some algorithms he cannot rewind, and also covering many features of the recent lattice-based ZKPs. This, in fact, was a formalization lacking in many existing anonymous signatures from lattices so far (e.g., group signatures). Therefore, this formalization is believed to be of independent interest. Finally, we provide a concrete instantiation of our generic ABS construction from lattices by introducing a new $\Sigma$-protocol, that highly departs from the previously known techniques, for proving possession of a valid signature of the lattice-based signature scheme of Boyen (PKC'10).

In STOC 2008, Peikert and Waters introduced a powerful primitive called lossy trapdoor functions (LTFs). In a nutshell, LTFs are functions that behave in one of two modes. In the normal mode, functions are injective and invertible with a trapdoor. In the lossy mode, functions statistically lose information about their inputs. Moreover, the two modes are computationally indistinguishable. In this work, we put forward a relaxation of LTFs, namely, regular lossy functions (RLFs). Compared to LTFs, the functions in the normal mode are not required to be efficiently invertible or even unnecessary to be injective. Instead, they could also be lossy, but in a regular manner. We also put forward richer abstractions of RLFs, namely all-but-one regular lossy functions (ABO-RLFs) and one-time regular lossy filters (OT-RLFs). We show that (ABO)-RLFs admit efficient constructions from both a variety of number- theoretic assumptions and hash proof system (HPS) for subset membership problems satisfying natural algebraic properties. Thanks to the relaxations on functionality, the constructions enjoy much compact key size and better computational efficiency than that of (ABO)-LTFs. We demonstrate the utility of RLFs and their extensions in the leakage-resilient cryptography. As a special case of RLFs, lossy functions imply leakage-resilient injective one-way functions with optimal leakage rate $1 - o(1)$. ABO-RLFs (or OT-RLFs) immediately imply leakage-resilient one-time message authentication code (MAC) with optimal leakage rate $1 - o(1)$. ABO-RLFs together with HPS give rise to leakage-resilient chosen-ciphertext (CCA) secure key encapsulation mechanisms (KEM) (this approach extends naturally to the identity-based setting). Combining the construction of ABO-RLFs from HPS, this gives the first leakage-resilient CCA-secure public-key encryption (PKE) with optimal leakage rate based solely on HPS, and thus goes beyond the barrier posed by Dodis et al. (Asiacrypt 2010). Our construction also applies to the identity-based setting, yielding LR-CCA secure IB-KEM with higher leakage rate than previous works.

In 2017, Liu, Li, Kim and Nepal submitted a new public-key encryption scheme Compact-LWE to NIST as a candidate of the standard of post-quantum cryptography. Compact-LWE features its structure similar to LWE, but with different distribution of errors. Liu, Li, Kim and Nepal thought that the special error distribution they employed would protect Compact-LWE from the known lattice-based attacks. Furthermore, they recommended a set of small parameters to improve the efficiency of Compact-LWE and claimed it can offer 192 bits of security. However, in this paper, we show that Compact-LWE is not secure with recommended parameters by presenting two efficient ciphertext-only attacks against it. \begin{itemize} \item The first one is to recover the equivalent private keys just from the public keys. By exploiting the special structure of Compact-LWE, employing some known skills such as orthogonal-lattice technique, and also developing some new techniques, we finally recovered the equivalent private keys for more than 80\% of the random generated instances in our experiments. \item The second one is to recover the corresponding message given the public keys and a ciphertext. Note that any short enough solutions of corresponding inhomogeneous linear systems can be used to decrypt a ciphertext equivalently. We recovered all the messages without knowing the private keys in our experiments. \end{itemize}

Motivated by the need to assess the concrete security of a device after a side channel attack, there has been a flurry of recent work designing both key rank and key enumeration algorithms. Two main competitors for key ranking can be found in the literature: a convolution based algorithm put forward by Glowacz et al. (FSE 2015), and a path counting based algorithm proposed by Martin et al. (Asiacrypt 2015). Both key ranking algorithms can be extended to key enumeration algorithms (Poussier et al. (CHES 2016) and Martin et al. (Asiacrypt 2015)). The two approaches were proposed independently, and have so far been treated as uniquely different techniques, with different levels of accuracy. However, we show that both approaches (for ranking) are mathematically equivalent for a suitable choice of their respective discretisation parameter. This settles questions about which one returns more accurate rankings. We then turn our attention to their related enumeration algorithms and determine why and how these algorithms differ in their practical performance.

We consider a setting where users store their encrypted documents on a remote server and can selectively share documents with each other. A user should be able to perform keyword searches over all the documents she has access to, including the ones that others shared with her. The contents of the documents, and the search queries, should remain private from the server. This setting was considered by Popa et al. (NSDI '14) who developed a new cryptographic primitive called Multi-Key Searchable Encryption (MKSE), together with an instantiation and an implementation within a system called Mylar, to address this goal. Unfortunately, Grubbs et al. (CCS '16) showed that the proposed MKSE definition fails to provide basic security guarantees, and that the Mylar system is susceptible to simple attacks. Most notably, if a malicious Alice colludes with the server and shares a document with an honest Bob then the privacy of all of Bob's search queries is lost. In this work we revisit the notion of MKSE and propose a new strengthened definition that rules out the above attacks. We then construct MKSE schemes meeting our definition. We first give a simple and efficient construction using only pseudorandom functions. This construction achieves our strong security definition at the cost of increasing the server storage overhead relative to Mylar, essentially replicating the document each time it is shared. We also show that high server storage overhead is not inherent, by giving an alternate (albeit impractical) construction that manages to avoid it using obfuscation.

We study game-based definitions of individual and universal verifiability by Smyth, Frink & Clarkson. We prove that building voting systems from El Gamal coupled with proofs of correct key generation suffices for individual verifiability. We also prove that it suffices for an aspect of universal verifiability. Thereby eliminating the expense of individual-verifiability proofs and simplifying universal-verifiability proofs for a class of encryption-based voting systems. We use the definitions of individual and universal verifiability to analyse the mixnet variant of Helios. Our analysis reveals that universal verifiability is not satisfied by implementations using the weak Fiat-Shamir transformation. Moreover, we prove that individual and universal verifiability are satisfied when statements are included in hashes (i.e., when using the Fiat-Shamir transformation, rather than the weak Fiat-Shamir transformation).

In this paper, we consider a scenario where a sender transmits ciphertexts to multiple receivers using a public-key encryption scheme, and at a later point of time, wants to retrieve the plaintexts, without having to request the receivers' help in decrypting the ciphertexts, and without having to locally store a separate recovery key for every receiver the sender interacts with. This problem, known as public key encryption with sender recovery has intuitive solutions based on hybrid encryption-based key encapsulation mechanism and data encapsulation mechanism (KEM/DEM) schemes. We propose a KEM/DEM-based solution that is CCA2-secure, allows for multiple receivers, only requires the receivers to be equipped with public/secret keypairs (the sender needs only a single symmetric recovery key), and uses an analysis technique called plaintext randomization that results in greatly simplified, clean, and intuitive proofs compared to prior work in this area. We instantiate our protocol for public key encryption with sender recovery with the Cramer-Shoup hybrid encryption scheme.

A digital signature scheme (DSS), which consists of a key-generation, a signing, and a verification algorithm, is an invaluable tool in cryptography. The first and still most widely used security definition for a DSS, existential unforgeability under chosen-message attack, was introduced by Goldwasser, Micali, and Rivest in 1988. As DSSs serve as a building block in numerous complex cryptographic protocols, a security definition that specifies the guarantees of a DSS under composition is needed. Canetti (FOCS 2001, CSFW 2004) as well as Backes, Pfitzmann, and Waidner (CCS 2003) have described ideal functionalities for signatures in their respective composable-security frameworks. While several variants of these functionalities exist, they all share that the verification key and signature values appear explicitly. In this paper, we describe digital signature schemes from a different, more abstract perspective. Instead of modeling all aspects of a DSS in a monolithic ideal functionality, our approach characterizes a DSS as a construction of a repository for authentically reading values written by a certain party from certain assumed repositories, e.g., for transmitting verification key and signature values. This approach resolves several technical complications of previous simulation-based approaches, captures the security of signature schemes in an abstract way, and allows for modular proofs. We show that our definition is equivalent to existential unforgeability. We then model two example applications: (1) the certification of values via a signature from a specific entity, which with public keys as values is the core functionality of public-key infrastructures, and (2) the authentication of a session between a client and a server with the help of a digitally signed assertion from an identity provider. Single-sign-on mechanisms such as SAML rely on the soundness of the latter approach.

BRW-polynomial function is suggested as a preferred alternative of polynomial function, owing to its high efficiency and seemingly non-existent weak keys. In this paper we investigate the weak-key issue of BRW-polynomial function as well as BRW-instantiated cryptographic schemes. Though, in BRW-polynomial evaluation, the relationship between coefficients and input blocks is indistinct, we give out a recursive algorithm to compute another $(2^{v+1}-1)$-block message, for any given $(2^{v+1}-1)$-block message, such that their output-differential through BRW-polynomial evaluation, equals any given $s$-degree polynomial, where $v\ge\lfloor\log_2(s+1)\rfloor$. With such algorithm, we illustrate that any non-empty key subset is a weak-key class in BRW-polynomial function. Moreover any key subset of BRW-polynomial function, consisting of at least $2$ keys, is a weak-key class in BRW-instantiated cryptographic schemes like the Wegman-Carter scheme, the UHF-then-PRF scheme, DCT, etc. Especially in the AE scheme DCT, its confidentiality, as well as its integrity, collapses totally, when using weak keys of BRW-polynomial function, which are ubiquitous.

Certain RSA-based protocols, for instance in the domain of group signatures, require a prover to convince a verifier that a set of RSA parameters is well-structured (e.g., that the modulus is the product of two distinct primes and that the exponent is co-prime to the group order). Various corresponding proof systems have been proposed in the past, with different levels of generality, efficiency, and interactivity. This paper proposes two new proof systems for a wide set of properties that RSA and related moduli might have. The protocols are particularly efficient: The necessary computations are simple, the communication is restricted to only one round, and the exchanged messages are short. While the first protocol is based on prior work (improving on it by reducing the number of message passes from four to two), the second protocol is novel. Both protocols require a random oracle.

Hardware Trojans have gained increasing interest during the past few years. Undeniably, the detection of such malicious designs needs a deep understanding of how they can practically be built and developed. In this work we present a design methodology dedicated to FPGAs which allows measuring a fraction of the dynamic power consumption. More precisely, we develop internal sensors which are based on FPGA primitives, and transfer the internally-measured side-channel leakages outside. These are distributed and calibrated delay sensors which can indirectly measure voltage fluctuations due to power consumption. By means of a cryptographic core as a case study, we present different settings and parameters for our employed sensors. Using their side-channel measurements, we further exhibit practical key-recovery attacks confirming the applicability of the underlying measurement methodology. This opens a new door to integrate hardware Trojans in a) applications where the FPGA is remotely accessible and b) FPGA-based multi-user platforms where the reconfigurable resources are shared among different users. This type of Trojan is highly difficult to detect since there is no signal connection between targeted (cryptographic) core and the internally-deployed sensors.

We construct a graded encoding scheme (GES), an approximate form of graded multilinear maps. Our construction relies on indistinguishability obfuscation, and a pairing-friendly group in which (a suitable variant of) the strong Diffie--Hellman assumption holds. As a result of this abstract approach, our GES has a number of advantages over previous constructions. Most importantly: a) We can prove that the multilinear decisional Diffie--Hellman (MDDH) assumption holds in our setting, assuming the used ingredients are secure (in a well-defined and standard sense). In particular, and in contrast to previous constructions, our GES does not succumb to so-called ``zeroizing'' attacks. Indeed, our scheme is currently the only GES for which no known cryptanalysis applies. b) Encodings in our GES do not carry any noise. Thus, unlike previous GES constructions, there is no upper bound on the number of operations one can perform with our encodings. Hence, our GES essentially realizes what Garg et al.~(EUROCRYPT 2013) call the ``dream version'' of a GES. Technically, our scheme extends a previous, non-graded approximate multilinear map scheme due to Albrecht et al.~(TCC 2016-A). To introduce a graded structure, we develop a new view of encodings at different levels as polynomials of different degrees.

We construct a mathematical group in which an interactive variant of the very general Uber assumption holds. Our construction uses probabilistic indistinguishability obfuscation, fully homomorphic encryption, and a pairing-friendly group in which a mild and standard computational assumption holds. While our construction is not practical, it constitutes a feasibility result that shows that under a strong but generic, and a mild assumption, groups exist in which very general computational assumptions hold. We believe that this grants additional credibility to the Uber assumption.

Randomized moduli in Residue Number System (RNS) generate effectively large noise and make quite difficult to attack a secret key $K$ from only few observations of Hamming distances $H=(H_0, ..., H_{d-1})$ that result from the changes on the state variable. Since Hamming distances have gaussian distribution and most of the statistic tests, like NIST's ones, evaluate discrete and uniform distribution, we choose to use side-channel attacks as a tool in order to evaluate randomisation of Hamming distances . This paper analyses the resilience against Correlation Power Analysis (CPA), Differential Power Analysis (DPA) when the cryptographic system is protected against Simple Power Analysis (SPA) by a Montgomery Powering Ladder (MPL). While both analysis use only information on the current state, DPA Square crosses the information of all the states. We emphasize that DPA Square performs better than DPA and CPA and we show that the number of observations $S$ needed to perform an attack increases with respect to the number of moduli $n$. For Elliptic Curves Cryptography (ECC) and using a Monte Carlo simulation, we conjecture that $S = O((2n)!/(n!)^2)$.

Decision of whether a Boolean equation system has a solution is an NPC problem and finding a solution is NP hard. In this paper, we present a quantum algorithm to decide whether a Boolean equation system F has a solution and compute one if F does have solutions with any given success probability. The complexity of the algorithm is polynomial in the size of F and the condition number of F. As a consequence, we have achieved exponential speedup for solving sparse Boolean equation systems if their condition numbers are small. We apply the quantum algorithm to the cryptanalysis of the stream cipher Trivum, the block cipher AES, the hash function SHA-3/Keccak, and the multivariate public key cryptosystems, and show that they are secure under quantum algebraic attack only if the condition numbers of the corresponding equation systems are large.

How to efficiently search over encrypted data is an important and interesting problem in the cloud era. To solve it, Boneh et al. introduced the notion of public key encryption with keyword search (PEKS), in 2004. However, in almost all the PEKS schemes an inside adversary may recover the keyword from a given trapdoor by exhaustively guessing the keywords offline. How to resist the inside keyword guessing attack in PEKS remains a hard problem. In this paper we propose introduce the notion of Public-key Authenticated Encryption with Keyword Search (PAEKS) to solve the problem, in which the data sender not only encrypts a keyword, but also authenticates it, so that a verifier would be convinced that the encrypted keyword can only be generated by the sender. We propose a concrete and efficient construction of PAEKS, and prove its security based on simple and static assumptions in the random oracle model under the given security models. Experimental results show that our scheme enjoys a comparable efficiency with Boneh et al.'s scheme.

Masking schemes represent a well-researched and successful option to follow when considering side-channel countermeasures. Still, such measures increase the implementation cost in term of power consumption, clock cycles, and random numbers generation. In fact, the higher the order of protection against side-channel adversaries, the higher the implementation cost of countermeasures. S-boxes represent the most vulnerable part in an implementation when considering side-channel adversary. In this paper, we investigate how to generate S-boxes that have improved resilience against varying orders of side-channel attacks while minimising the implementation costs. We examine whether S-boxes generated against a certain order of attack also represent a good solution when considering different order of attacks. We demonstrate that we successfully generated S-boxes resilient against a certain physical attack order but the improvements are small. As a result, S-boxes that are resilient against first order attacks stay resilient against higher-order attacks, which saves computational power during the design of higher-order side-channel attacks resilient S-boxes.

We show a protocol for two-server oblivious RAM (ORAM) that is simpler and more efficient than the best prior work. Our construction combines any tree-based ORAM with an extension of a two-server private information retrieval scheme by Boyle et al., and is able to avoid recursion and thus use only one round of interaction. In addition, our scheme has a very cheap initialization phase, making it well suited for RAM-based secure computation. Although our scheme requires the servers to perform a linear scan over the entire data, the cryptographic computation involved consists only of block-cipher evaluations. A practical instantiation of our protocol has excellent concrete parameters: for storing an $N$-element array of arbitrary size data blocks with statistical security parameter $\lambda$, the servers each store $4N$ encrypted blocks, the client stores $\lambda+2\log N$ blocks, and the total communication per logical access is roughly $10 \log N$ encrypted blocks.

In this paper, we ask a question whether convolutional neural networks are more suitable for SCA scenarios than some other machine learning techniques, and if yes, in what situations. Our results point that convolutional neural networks indeed outperforms machine learning in several scenarios when considering accuracy. Still, often there is no compelling reason to use such a complex technique. In fact, if comparing techniques without extra steps like preprocessing, we see an obvious advantage for convolutional neural networks only when the level of noise is small, and the number of measurements and features is high. The other tested settings show that simpler machine learning techniques, for a significantly lower computational cost, perform similar or even better. The experiments with the guessing entropy metric indicate that simpler methods like Random forest or XGBoost perform better than convolutional neural networks for the datasets we investigated. Finally, we conduct a small experiment that opens the question whether convolutional neural networks are actually the best choice in side-channel analysis context since there seems to be no advantage in preserving the topology of measurements.

Bad choices of passwords were and are a pervasive problem. Users choosing weak passwords do not only compromise themselves, but the whole ecosystem. E.g, common and default passwords in IoT devices were exploited by hackers to create botnets and mount severe attacks on large Internet services, such as the Mirai botnet DDoS attack. We present a method to help protect the Internet from such large scale attacks. Our method enables a server to identify popular passwords (heavy hitters), and publish a list of over-popular passwords that must be avoided. This filter ensures that no single password can be used to compromise a large percentage of the users. The list is dynamic and can be changed as new users are added or when current users change their passwords. We apply maliciously secure two-party computation and differential privacy to protect the users' password privacy. Our solution does not require extra hardware or cost, and is transparent to the user. Our private heavy hitters construction is secure even against a malicious coalition of devices which tries to manipulate the protocol to hide the popularity of some password that the attacker is exploiting. It also ensures differential privacy under continual observation of the blacklist as it changes over time. As a reality check we conducted three tests: computed the guarantees that the system provides wrt a few publicly available databases, ran full simulations on those databases, and implemented and analyzed a proof-of-concept on an IoT device. Our construction can also be used in other settings to privately learn heavy hitters in the presence of an active malicious adversary. E.g., learning the most popular sites accessed by the Tor network.

The multiplicative complexity of a Boolean function is the minimum number of AND gates that are necessary and sufficient to implement the function over the basis (AND, XOR, NOT). Finding the multiplicative complexity of a given function is computationally intractable, even for functions with small number of inputs. Turan et al. showed that $n$-variable Boolean functions can be implemented with at most $n-1$ AND gates for $n\leq 5$. A counting argument can be used to show that, for $n \geq 7$, there exist $n$-variable Boolean functions with multiplicative complexity of at least $n$. In this work, we propose a method to find the multiplicative complexity of Boolean functions by analyzing circuits with a particular number of AND gates and utilizing the affine equivalence of functions. We use this method to study the multiplicative complexity of 6-variable Boolean functions, and calculate the multiplicative complexities of all 150357 affine equivalence classes. We show that any 6-variable Boolean function can be implemented using at most 6 AND gates. Additionally, we exhibit specific 6-variable Boolean functions which have multiplicative complexity 6.

Consider the following secret-sharing problem. Your goal is to distribute a long file $s$ between $n$ servers such that $(d-1)$-subsets cannot recover the file, $(d+1)$-subsets can recover the file, and $d$-subsets should be able to recover $s$ if and only if they appear in some predefined list $L$. How small can the information ratio (i.e., the number of bits stored on a server per each bit of the secret) be? We initiate the study of such $d$-uniform access structures, and view them as a useful scaled-down version of general access structures. Our main result shows that, for constant $d$, any $d$-uniform access structure admits a secret sharing scheme with a *constant* asymptotic information ratio of $c_d$ that does not grow with the number of servers $n$. This result is based on a new construction of $d$-party Conditional Disclosure of Secrets (Gertner et al., JCSS '00) for arbitrary predicates over $n$-size domain in which each party communicates at most four bits per secret bit. In both settings, previous results achieved non-constant information ratio which grows asymptotically with $n$ even for the simpler (and widely studied) special case of $d=2$. Moreover, our results provide a unique example for a natural class of access structures $F$ that can be realized with information rate smaller than its bit-representation length $\log |F|$ (i.e., $\Omega( d \log n)$ for $d$-uniform access structures) showing that amortization can beat the representation size barrier. Our main result applies to exponentially long secrets, and so it should be mainly viewed as a barrier against amortizable lower-bound techniques. We also show that in some natural simple cases (e.g., low-degree predicates), amortization kicks in even for quasi-polynomially long secrets. Finally, we prove some limited lower-bounds, point out some limitations of existing lower-bound techniques, and describe some applications to the setting of private simultaneous messages.

The introduction of summation polynomials for elliptic curves by Semaev has opened up new avenues of investigation in index calculus type algorithms for the elliptic curve discrete logarithm problem, and several recent papers have explored their use. We propose an index calculus algorithm to solve the Elliptic Curve Discrete Logarithm Problem that makes use of a technique for fast evaluation of the summation polynomials, and unlike all other algorithms using summation polynomials, does not involve a Gröbner basis computation. We further propose another algorithm that does not involve Gröbner basis computations or summation polynomials. We give a complexity estimate of our algorithms and provide extensive computational data.

Authenticated encryption with Associated Data (AEAD) plays a significant role in cryptography because of its ability to provide integrity, confidentiality and authenticity at the same time. Due to the emergence of security at the edge of computing fabric, such as, sensors and smartphone devices, there is a growing need of lightweight AEAD ciphers. Currently, a worldwide contest, titled CAESAR, is being held to decide on a set of AEAD ciphers, which are distinguished by their security, run-time performance, energy-efficiency and low area budget. For accurate evaluation of CAESAR candidates, it is of utmost importance to have independent and thorough optimization for each of the ciphers both for their corresponding hardware and software implementations. In this paper, we have carried out an evaluation of the optimized hardware implementation of AEAD ciphers selected in CAESAR third round. We specifically focus on manual optimization of the micro-architecture, evaluations for ASIC technology libraries and the effect of CAESAR APIs on the performances. While these has been studied for FPGA platforms and standalone cipher implementation - to the best of our knowledge, this is the first detailed ASIC benchmarking of CAESAR candidates including manual optimization. In this regard, we benchmarked all prior reported designs, including the code generated by high-level synthesis flows. Detailed optimization studies are reported for NORX, CLOC and Deoxys-I. Our pre-layout results using commercial ASIC technology library and synthesis tools show that optimized NORX is 40.81% faster and 18.02% smaller, optimized CLOC is 38.30% more energy efficient and 20.65% faster and optimized Deoxys-I is 35.16% faster, with respect to the best known results. Similar or better performance results are also achieved for FPGA platforms.

The Learning Parity with Noise (LPN) problem has recently found many cryptographic applications such as authentication protocols, pseudorandom generators/functions and even asymmetric tasks including public-key encryption (PKE) schemes and oblivious transfer (OT) protocols. It however remains a long-standing open problem whether LPN implies collision resistant hash (CRH) functions. Based on the recent work of Applebaum et al. (ITCS 2017), we introduce a general framework for constructing CRH from LPN for various parameter choices. We show that, just to mention a few notable ones, under any of the following hardness assumptions (for the two most common variants of LPN) 1) constant-noise LPN is $2^{n^{0.5+\epsilon}}$-hard for any constant $\epsilon>0$; 2) constant-noise LPN is $2^{\Omega(n/\log n)}$-hard given $q=poly(n)$ samples; 3) low-noise LPN (of noise rate $1/\sqrt{n}$) is $2^{\Omega(\sqrt{n}/\log n)}$-hard given $q=poly(n)$ samples. there exists CRH functions with constant (or even poly-logarithmic) shrinkage, which can be implemented using polynomial-size depth-3 circuits with NOT, (unbounded fan-in) AND and XOR gates. Our technical route LPN$\rightarrow$bSVP$\rightarrow$CRH is reminiscent of the known reductions for the large-modulus analogue, i.e., LWE$\rightarrow$SIS$\rightarrow$CRH, where the binary Shortest Vector Problem (bSVP) was recently introduced by Applebaum et al. (ITCS 2017) that enables CRH in a similar manner to Ajtai's CRH functions based on the Short Integer Solution (SIS) problem. Furthermore, under additional (arguably minimal) idealized assumptions such as small-domain random functions or random permutations (that trivially imply collision resistance), we still salvage a simple and elegant collision-resistance-preserving domain extender that is (asymptotically) more parallel and efficient than previously known. In particular, assume $2^{n^{0.5+\epsilon}}$-hard constant-noise LPN or $2^{n^{0.25+\epsilon}}$-hard low-noise LPN, we obtain a polynomially shrinking collision resistant hash function that evaluates in parallel only a single layer of small-domain random functions (or random permutations) and produces their XOR sum as output.

Very recently, a key exchange scheme called HK17 was submitted to NIST as a candidate of the standard of post-quantum cryptography. The HK17 scheme employs some hypercomplex numbers as the basic objects, such as quaternions and octonions. In this paper, we show that HK17 is insecure since a passive adversary can recover the shared key in polynomial time.

In November 2017, Juan edro Hecht and Jorge Alejandro Kamlofsky submitted a quaternions/octonions based Diffie-Hellman key agreement protocol HK17 to NIST post quantum cryptography project. Daniel J. Bernstein and Tanja Lange showed how to break the scheme in O(p) steps where p is the modulo used in the scheme. One may wonder whether the scheme could be secure if p is sufficiently large (e.g., p is 1000 bits long)? In this note, we show that the scheme could be broken by solving a homogeneous quadratic equation system of eight equations in four unknowns. Thus no matter how big the p it is, it could be trivailly broken using Kipnis and Shamir’s relinearization techniques.

DPA attacks usually exhibit a "divide-and-conquer" property: the adversary needs to enumerate only a small space of the key (a key sub-space) when performing the DPA attack. This is achieved trivially in the outer rounds of a cryptographic implementation since intermediates depend on only few key bits. In the inner rounds, however, intermediates depend on too many key bits to make DPA practical or even to pose an advantage over cryptanalysis. For this reason, DPA countermeasures may be deployed only to outer rounds if performance or efficiency are critical. This paper shows a DPA attack exploiting leakage from the third round of a Feistel cipher, such as DES. We require the ability of fixing inputs, but we do not place any special restriction on the leakage model. The complexity of the attack is that of two to three DPA attacks on the first round of DES plus some minimal differential cryptanalysis.

The security of almost any real-world distributed system today depends on the participants having some "reasonably accurate" sense of current real time. Indeed, to name one example, the very authenticity of practically any communication on the Internet today hinges on the ability of the parties to accurately detect revocation of certificates, or expiration of passwords or shared keys. However, as recent attacks show, the standard protocols for determining time are subvertible, resulting in wide-spread security loss. Worse yet, we do not have security notions for network time protocols that (a) can be rigorously asserted and (b) rigorously guarantee security of applications that require a sense of real time. We propose such notions, within the universally composable (UC) security framework. That is, we formulate ideal functionalities that capture a number of prevalent forms of time measurement within existing systems. We show how they can be realized by real-world protocols, and how they can be used to assert security of time-reliant applications --- specifically, certificates with revocation and expiration times. This allows for relatively clear and modular treatment of the use of time in security-sensitive systems. Our modeling and analysis are done within the existing UC framework, in spite of its asynchronous, event-driven nature. This allows incorporating the use of real time within the existing body of analytical work done in this framework. In particular it allows for rigorous incorporation of real time within cryptographic tools and primitives.

Selfish mining is a well-known mining attack strategy discovered by Eyal and Sirer in 2014. After that, the attackers' strategy space has been extended by many works. These works only analyze the strategy and behavior of one single attacker. The extension of the strategy space is based on the assumption that there is only one attacker in the blockchain network. However, a proof of work blockchain is likely to have several attackers. The attackers can be independent of other attackers instead of sharing information and attacking the blockchain as a whole. During this problem, we are the team who for the first time analyze the miners' behavior in a proof of work blockchain with several attackers by establishing a new model. Based on our model, we extend the attackers' strategy space by proposing a new strategy set publish-n. Meanwhile, we revisit other attacking strategies such as selfish mining and stubborn mining in our model to explore whether these strategies work or not when there are several attackers. We compare the performance of different strategies through relative stale block rate of the attackers. In a proof of work blockchain model with two attackers, strategy publish-n can beat selfish mining by up to 26.3%.

Lattice trapdoors are an important primitive used in a wide range of cryptographic protocols, such as identity-based encryption (IBE), attribute-based encryption, functional encryption, and program obfuscation. In this paper, we present software implementations of the Gentry-Peikert-Vaikuntanathan (GPV) digital signature, IBE and ciphertext-policy attribute-based encryption (CP-ABE) schemes based on an efficient Gaussian sampling algorithm for trapdoor lattices, and demonstrate that these three important cryptographic protocols are practical. One important aspect of our implementation is that it supports prime moduli, which are required in many cryptographic schemes. Also, our implementation uses bases larger than two for the gadget matrix whereas most previous implementations use the binary base. We show that the use of higher bases significantly decreases execution times and storage requirements. We adapt IBE and CP-ABE schemes originally based on learning with errors (LWE) hardness assumptions to a more efficient Ring LWE (RLWE) construction. To the best of our knowledge, ours are the first implementations employing the Gaussian sampling for non-binary bases of the gadget matrix. The experimental results demonstrate that our lattice-based signature, IBE and CP-ABE implementations, which are based on standard assumptions with post-quantum security, provide a performance comparable to the recent state-of-the-art implementation works based on stronger/non-post-quantum assumptions.

Masking is a common technique to protect software implementations of symmetric cryptographic algorithms against Differential Power Analysis (DPA) attacks. The development of a properly masked version of a block cipher is an incremental and time-consuming process since each iteration of the development cycle involves a costly leakage assessment. To achieve a high level of DPA resistance, the architecture-specific leakage properties of the target processor need to be taken into account. However, for most embedded processors, a detailed description of these leakage properties is lacking and often not even the HDL model of the micro-architecture is openly available. Recent research has shown that power simulators for leakage assessment can significantly speed up the development process. Unfortunately, few such simulators exist and even fewer take target-specific leakages into account. To fill this gap, we present MAPS, a micro-architectural power simulator for the M3 series of ARM Cortex processors, one of today's most widely-used embedded platforms. MAPS is fast, easy to use, and able to model the Cortex-M3 pipeline leakages, in particular the leakage introduced by the pipeline registers. The M3 leakage properties are inferred from its HDL source code, and therefore MAPS does not need a complicated and expensive profiling phase. Taking first-order masked Assembler implementations of the lightweight cipher Simon as example, we study how the pipeline leakages manifest and discuss some guidelines on how to avoid them.

Broken cryptographic algorithms and hardness assumptions are a constant threat to real-world protocols. Prominent examples are hash functions for which collisions become known, or number-theoretic assumptions which are threatened by advances in quantum computing. Especially when it comes to key exchange protocols, the switch to quantum-resistant primitives has begun and aims to protect today's secrets against future developments, moving from common Diffie-Hellman-based solutions to Learning-With-Errors-based approaches, often via intermediate hybrid designs. To this date there exists no security notion for key exchange protocols that could capture the scenario of breakdowns of arbitrary cryptographic primitives to argue security of prior or even ongoing and future sessions. In this work we extend the common Bellare-Rogaway model to capture breakdown resilience of key exchange protocols. Our extended model allows us to study security of a protocol even in case of unexpected failure of employed primitives, may it be number-theoretic assumptions, hash functions, signature schemes, key derivation functions, etc. We then apply our security model to analyze two real-world protocols, showing that breakdown resilience for certain primitives is achieved by both an authenticated variant of the post-quantum secure key encapsulation mechanism NewHope (Alkim et al.) which is a second round candidate in the Post Quantum Cryptography standardization process by NIST, as well as by TLS 1.3, which has recently been standardized as RFC 8446 by the Internet Engineering Task Force. Finally, we analyze the security of a generic hybrid key exchange protocol, formally showing how such designs ensure resilience against breakdowns of one of their key exchange components.

The anticipated emergence of quantum computers in the foreseeable future drives the cryptographic community to start considering cryptosystems, which are based on problems that remain intractable even with strong quantum computers. One example is the family of code-based cryptosystems that relies on the Syndrome Decoding Problem (SDP). Recent work by Misoczki et al. [34] showed a variant of McEliece encryption which is based on Quasi Cyclic - Moderate Density Parity Check (MDPC) codes, and has significantly smaller keys than the original McEliece encryption. It was followed by the newly proposed QC-MDPC based cryptosystems CAKE [9] and Ouroboros [13]. These motivate dedicated new software optimizations. This paper lists the cryptographic primitives that QC-MDPC cryptosystems commonly employ, studies their software optimizations on modern processors, and reports the achieved speedups. It also assesses methods for side channel protection of the implementations, and their performance costs. These optimized primitives offer a useful toolbox that can be used, in various ways, by designers and implementers of QC-MDPC cryptosystems.

We construct a delegation scheme for verifying non-deterministic computations, with complexity proportional only to the non-deterministic space of the computation. Specifically, letting $n$ denote the input length, we construct a delegation scheme for any language verifiable in non-deterministic time and space $(T (n); S(n))$ with communication complexity $poly(S(n))$, verifier runtime $n polylog(T (n)) + poly(S(n))$, and prover runtime $poly(T (n))$. Our scheme consists of only two messages and has adaptive soundness, assuming the existence of a sub-exponentially secure private information retrieval (PIR) scheme, which can be instantiated under standard (albeit, sub-exponential) cryptographic assumptions, such as the sub-exponential LWE assumption. Specifically, the verifier publishes a (short) public key ahead of time, and this key can be used by any prover to non-interactively prove the correctness of any adaptively chosen non-deterministic computation. Such a scheme is referred to as a noninteractive delegation scheme. Our scheme is privately verifiable, where the verifier needs the corresponding secret key in order to verify proofs. Prior to our work, such results were known only in the Random Oracle Model, or under knowledge assumptions. Our results yield succinct non-interactive arguments based on subexponential LWE, for many natural languages believed to be outside of P.

Post-quantum cryptography has attracted much attention from worldwide cryptologists. In ISIT 2010, Kuwakado and Morii gave a quantum distinguisher with polynomial time against 3-round Feistel networks. However, generalized Feistel schemes (GFS) have not been systematically investigated against quantum attacks. In this paper, we study the quantum distinguishers about some generalized Feistel schemes. For $d$-branch Type-1 GFS (CAST256-like Feistel structure), we introduce ($2d-1$)-round quantum distinguishers with polynomial time. For $2d$-branch Type-2 GFS (RC6/CLEFIA-like Feistel structure), we give ($2d+1$)-round quantum distinguishers with polynomial time. Classically, Moriai and Vaudenay proved that a 7-round $4$-branch Type-1 GFS and 5-round $4$-branch Type-2 GFS are secure pseudo-random permutations. Obviously, they are no longer secure in quantum setting. Using the above quantum distinguishers, we introduce generic quantum key-recovery attacks by applying the combination of Simon's and Grover's algorithms recently proposed by Leander and May. We denote $n$ as the bit length of a branch. For $(d^2-d+2)$-round Type-1 GFS with $d$ branches, the time complexity is $2^{(\frac{1}{2}d^2-\frac{3}{2}d+2)\cdot \frac{n}{2}}$, which is better than the quantum brute force search (Grover search) by a factor $2^{(\frac{1}{4}d^2+\frac{1}{4}d)n}$. For $4d$-round Type-2 GFS with $2d$ branches, the time complexity is $2^{{\frac{d^2 n}{2}}}$, which is better than the quantum brute force search by a factor $2^{{\frac{3d^2 n}{2}}}$.

Homomorphic secret sharing (HSS) is the secret sharing analogue of homomorphic encryption. An HSS scheme supports a local evaluation of functions on shares of one or more secret inputs, such that the resulting shares of the output are short. Some applications require the stronger notion of additive HSS, where the shares of the output add up to the output over a finite Abelian group. While strong feasibility results for HSS are known under specific cryptographic assumptions, many natural questions remain open. We initiate a systematic study of HSS, making the following contributions. * A definitional framework. We present a general framework for defining HSS schemes that unifies and extends several previous notions from the literature, and cast known results within this framework. * Limitations. We establish limitations on information-theoretic multi-input HSS with short output shares via a relation with communication complexity. We also show that additive HSS for non-trivial functions, even the AND of two input bits, implies non-interactive key exchange, and is therefore unlikely to be implied by public-key encryption or even oblivious transfer. * Applications. We present two types of applications of HSS. First, we construct 2-round protocols for secure multiparty computation from a simple constant-size instance of HSS. As a corollary, we obtain 2-round protocols with attractive asymptotic efficiency features under the Decision Diffie Hellman (DDH) assumption. Second, we use HSS to obtain nearly optimal worst-case to average-case reductions in P. This in turn has applications to fine-grained average-case hardness and verifiable computation.

In modern cryptography, block encryption is a fundamental cryptographic primitive. However, it is impossible for block encryption to achieve the same security as one-time pad. Quantum mechanics has changed the modern cryptography, and lots of researches have shown that quantum cryptography can outperform the limitation of traditional cryptography. This article proposes a new constructive mode for private quantum encryption, named $\mathcal{EHE}$, which is a very simple method to construct quantum encryption from classical primitive. Based on $\mathcal{EHE}$ mode, we construct a quantum block encryption (QBE) scheme from pseudorandom functions. If the pseudorandom functions are standard secure, our scheme is indistinguishable encryption under chosen plaintext attack. If the pseudorandom functions are permutation on the key space, our scheme can achieve perfect security. In our scheme, the key can be reused and the randomness cannot, so a $2n$-bit key can be used in exponential times of encryption, where the randomness will be refreshed in each time of encryption. Thus $2n$-bit key can perfectly encrypt $O(n2^n)$ qubits, and the perfect secrecy would not be broken if the $2n$-bit key is reused only exponential times. Comparing with quantum one-time pad (QOTP), our scheme can be the same secure as QOTP, and the secret key can be reused (no matter whether the eavesdropping exists or not). Thus, the limitation of perfectly secure encryption (Shannon's theory) is broken in the quantum setting. Moreover, our scheme can be viewed as a positive answer to an open problem in quantum cryptography ``how to unconditionally reuse or recycle the whole key of private-key quantum encryption". In order to physically implement the QBE scheme, we only need to implement two kinds of single-qubit gates (Pauli $X$ gate and Hadamard gate), so it is within reach of current quantum technology.

Trusted computing technologies may play a key role for cloud security as they enable users to relax the trustworthiness assumptions about the provider that operates the physical cloud infrastructure. This work focuses on the possibility of embodying Field-Programmable Gate Array (FPGA) devices in cloud-based infrastructures, where they can benefit compute-intensive workloads like data compression, machine learning, data encoding, etc. The focus is on the implications for cloud applications with security requirements. We introduce a general architecture model of a CPU+FPGA platform pinpointing key roles and specific assumptions that are relevant for the trusted computing mechanisms and the associated security properties. In addition, we formally verified the proposed solution based on Applied Pi Calculus, a descendant of Pi Calculus, that introduces constructs allowing the symbolic description of cryptographic primitives. The verification phase was automated by means of ProVerif, a tool taking as input a model expressed in Applied Pi Calculus along with some queries and annotations that define security properties to be proved or denied. The results of the analysis confirmed that the properties defined in our work hold under the Dolev Yao attacker model.

Various safety-critical devices, such as industrial control systems, medical devices, and home automation systems, are configured through web interfaces from remote hosts that are standard PCs. The communication link from the host to the safety-critical device is typically easy to protect, but if the host gets compromised, the adversary can manipulate any user-provided configuration settings with severe consequences including safety violations. In this paper, we propose IntegriKey, a novel system for user input integrity protection in compromised host. The user installs a simple plug-and-play device between the input peripheral and the host. This device observes user input events and sends a trace of them to the server that compares the trace to the application payload received from the untrusted host. To prevent subtle attacks where the adversary exchanges values from interchangeable input fields, we propose a labeling scheme where the user annotates input values. We built a prototype of IntegriKey, using an embedded USB bridge, and our experiments show that such integrity protection adds only minor delay. We also developed a UI analysis tool that helps developers to protect their services and evaluated it on commercial safety-critical systems.

Provably secure masking schemes always require too many random generations, which signficantly increases the implementation cost. Recently in IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (TIFS) (DOI:10.1109/TIFS.2017.2713323), Zhang, Qiu, and Zhou improve the efficiency of the CPRR scheme by decreasing the random generations. Recently, Barthe et al. claim that security flaws exist in both proposals and provide the counter-examples. In this paper, we fix these security flaws by changing the addition order. In this way, the two proposals are corrected with no extra random generation.

The standard zero knowledge notion is formalized by requiring that for any probabilistic polynomial-time (PPT) verifier $V^*$, there is a PPT algorithm (simulator) $S_{V^*}$, such that the outputs of $S_{V^*}$ is indistinguishable from real protocol views. The simulator is not permitted to access the verifier $V^*$'s private state. So the power of $S_{V^*}$ is, in fact, inferior to that of $V^*$. In this paper, a new simulation method, called augmented black-box simulation, is presented by permitting the simulator to have access to the verifier's current private state in a special manner. The augmented black-box simulator only has the same computing power as the verifier although it is given access to the verifier's current private state. Therefore, augmented black-box simulation is a reasonable method to prove zero knowledge property, and brings results that hard to obtain with previous simulation techniques. Zero knowledge property, proved by means of augmented black-box simulation, is called augmented black-box zero-knowledge. We present a 5-round statistical augmented black-box zero-knowledge argument for Exact Cover Problem under the Decision Multilinear No-Exact-Cover Assumption. In addition, we show a 2-round computational augmented black-box zero-knowledge argument protocol for Exact Cover problem under the Decision Multilinear No-Exact-Cover Assumption and the assumption of the existence of hash functions. It is well known that 2-round zero knowledge protocols does not exist under general zero knowledge notion. Besides, following [19], we consider leakage-resilient property of augmented black-box zero knowledge, and prove that the presented statistical zero-knowledge protocol has optimal leakage-resilient property.

One of the Bitcoin's innovations is the Proof of Work puzzle (aka scratch-off puzzle) as a consensus protocol for anonymous networks without pre-established PKI. Bitcoins based on the Proof of Work puzzle have been harshly blamed today for problems such as energy wasted and not easily scalable. In this paper, we construct a novel Proof of Transaction(PoT) puzzle, and prove that PoT puzzle satisfies the basic construction conditions of scratch-off puzzle. We also show construction of PoTcoin as application. PoTcoin has many advantage but not limited as strengthening the network topology, promoting currency circulation, anti-outsourcing computing and environment-friendly.

In this paper, we propose a post-quantum public-key encryption scheme whose security depends on a problem arising from a multivariate non-linear indeterminate equation. The security of lattice cryptosystems, which are considered to be the most promising candidate for a post-quantum cryptosystem, is based on the shortest vector problem or the closest vector problem in the discrete linear solution spaces of simultaneous equations. However, several improved attacks for the underlying problems have recently been developed by using approximation methods, which result in requiring longer key sizes. As a scheme to avoid such attacks, we propose a public-key encryption scheme based on the "smallest" solution problem in the non-linear solution spaces of multivariate indeterminate equations that was developed from the algebraic surface cryptosystem. Since no efficient algorithm to find such a smallest solution is currently known, we introduce a new computational assumption under which proposed scheme is proven to be secure in the sense of IND-CPA. Then, we perform computational experiments based on known attack methods and evaluate that the key size of our scheme under the linear condition. This paper is a revised version of SAC2017.

Physical-layer attacks allow attackers to manipulate (spoof) ranging and positioning. These attacks had real-world impact and allowed car thefts, executions of unauthorized payments and manipulation of navigation. UWB impulse radio, standardized within 802.15.4a,f, has emerged as a prominent technique for precise ranging that allows high operating distances despite power constraints by transmitting multi-pulse symbols. Security of UWB ranging (in terms of the attacker's ability to manipulate the measured distance) has been discussed in the literature and is, since recently also being addressed as a part of the emerging 802.15.4z standard. However, all research so far, as well as security enhancements proposed within this emerging standard face one main limitation: they achieve security through short symbol lengths and sacrifice performance (i.e., limit the maximum distance of measurement), or use longer symbol lengths, therefore sacrificing security. We present UWB with pulse reordering (UWB-PR), the first modulation scheme that secures distance measurement between two mutually trusted devices against all physical-layer distance shortening attacks without sacrificing performance, therefore simultaneously enabling extended range and security. We analyze the security of UWB-PR under the attacker that fully controls the communication channel and show that UWB-PR resists such strong attackers. We evaluate UWB-PR within a UWB system built on top of the IEEE 802.15.4 device and show that it achieves distances of up to 93m with 10cm precision (LoS). UWB-PR is, therefore, a good candidate for the extended mode of the new 802.15.4z Low Rate Pulse standard. Finally, UWB-PR shows that secure distance measurement can be built on top of modulation schemes with longer symbol lengths - so far, this was considered insecure.

We introduce the abstract framework of decentralized smart contracts system with balance and transaction amount hiding property under the ACCOUNT architecture. To build a concrete system with such properties, we utilize a homomorphic public key encryption scheme and construct a highly efficient non-interactive zero knowledge (NIZK) argument based upon the encryption scheme to ensure the validity of the transactions. Our NIZK scheme is perfect zero knowledge in the common reference string model, while its soundness holds in the random oracle model. Compared to previous similar constructions, our proposed NIZK argument dramatically improves the time efficiency in generating a proof, at the cost of relatively longer proof size.

Database-as-a-service (DBaaS) allows the client to store and manage structured data on the cloud remotely. Despite its merits, DBaaS also brings significant privacy issues. Existing encryption techniques (e.g., SQL-aware encryption) can mitigate privacy concerns, but they still leak information through access patterns, which are vulnerable to statistical inference attacks. Oblivious Random Access Machine (ORAM) can seal such leakages; however, the recent studies showed significant challenges on the integration of ORAM into databases. That is, the direct usage of ORAM on databases is not only costly but also permits very limited query functionalities. In this paper, we propose new oblivious data structures called Oblivious Matrix Structure (OMAT) and Oblivious Tree Structure (OTREE), which allow tree-based ORAM to be integrated into database systems in a more efficient manner with diverse query functionalities supported. OMAT provides special ORAM packaging strategies for table structures, which not only offers a significantly better performance but also enables a broad range of query types that may not be efficient in existing frameworks. On the other hand, OTREE allows oblivious conditional queries to be performed on tree-indexed databases more efficiently than existing techniques. We implemented our proposed techniques and evaluated their performance on a real cloud database with various metrics, compared with state-of-the-art counterparts.

Searchable encryption has received a significant attention from the research community with various constructions being proposed, each achieving asymptotically optimal complexity for specific metrics (e.g., search, update). Despite their elegancy, the recent attacks and deployment efforts have shown that the optimal asymptotic complexity might not always imply practical performance, especially if the application demands a high privacy. Hence, there is a significant need for searchable encryption frameworks that capture the recent attacks with actual deployments on cloud infrastructures to assess the practicality under realistic settings. In this article, we introduce a new Dynamic Searchable Symmetric Encryption (DSSE) framework called Incidence Matrix (IM)-DSSE, which achieves a high level of privacy, efficient search/update, and low client storage with actual deployments on real cloud settings. We harness an incidence matrix along with two hash tables to create an encrypted index, on which both search and update operations can be performed effectively with minimal information leakage. This simple set of data structures surprisingly offers a high level of DSSE security while at the same time achieving practical performance. Specifically, IM-DSSE achieves forward privacy, backward privacy and size-obliviousness properties simultaneously. We also create several DSSE variants, each offering different trade-offs (e.g., security, computation) that are suitable for different cloud applications and infrastructures. Our framework was fully-implemented and its performance was rigorously evaluated on a real cloud system (Amazon EC2). Our experimental results confirm that IM-DSSE is highly practical even when deployed on mobile phones with a large outsourced dataset. Finally, we have released our IM-DSSE framework as an open-source library for a wide development and adaptation.

In August 2015 the cryptographic world was shaken by a sudden and surprising announcement by the US National Security Agency (NSA) concerning plans to transition to post-quantum algorithms. Since this announcement post-quantum cryptography has become a topic of primary interest for several standardization bodies. The transition from the currently deployed public-key algorithms to post-quantum algorithms has been found to be challenging in many aspects. In particular the problem of evaluating the quantum-bit security of such post-quantum cryptosystems remains vastly open. Of course this question is of primarily concern in the process of standardizing the post-quantum cryptosystems. In this paper we consider the quantum security of the problem of solving a system of $m$ Boolean multivariate quadratic equations in $n$ variables (MQ$_2$); a central problem in post-quantum cryptography. When $n=m$, under a natural algebraic assumption, we present a Las-Vegas quantum algorithm solving MQ$_2$ that requires the evaluation of, on average, $O(2^{0.462n})$ quantum gates. To our knowledge this is the fastest algorithm for solving MQ$_2$.

We propose a lattice-based electronic voting scheme, EVOLVE (Electronic Voting from Lattices with Verification), which is conjectured to resist attacks by quantum computers. Our protocol involves a number of voting authorities so that vote privacy is maintained as long as at least one of the authorities is honest, while the integrity of the result is guaranteed even when all authorities collude. Furthermore, the result of the vote can be independently computed by any observer. At the core of the protocol is the utilization of a homomorphic commitment scheme with strategically orchestrated zero-knowledge proofs: voters use approximate but efficient “Fiat-Shamir with Aborts” proofs to show the validity of their vote, while the authorities use amortized exact proofs to show that the commitments are well-formed. We also present a novel efficient zero-knowledge proof that one of two lattice-based statements is true (so-called OR proof) and a new mechanism to control the size of the randomness when applying the homomorphism to commitments. We give concrete parameter choices to securely instantiate and evaluate the efficiency of our scheme. Our prototype implementation shows that the voters require 8 milliseconds to submit a vote of size about 20KB to each authority and it takes each authority 0.15 seconds per voter to create a proof that his vote was valid. The size of the vote share that each authority produces is approximately 15KB per voter, which we believe is well within the practical bounds for a large-scale election.

We propose a novel multi-party computation protocol for evaluating continuous real-valued functions with high numerical precision. Our method is based on approximations with Fourier series and uses at most two rounds of communication during the online phase. For the offline phase, we propose a trusted-dealer and honest-but-curious aided solution, respectively. We apply our algorithm to train a logistic regression classifier via a variant of Newton's method (known as IRLS) to compute unbalanced classification problems that detect rare events and cannot be solved using previously proposed privacy-preserving optimization algorithms (e.g., based on piecewise-linear approximations of the sigmoid function). Our protocol is efficient as it can be implemented using standard quadruple-precision floating point arithmetic. We report multiple experiments and provide a demo application that implements our algorithm for training a logistic regression model.

Software-based countermeasures provide effective mitigation against side-channel attacks, often with minimal efficiency and deployment overheads. Their effectiveness is often amenable to rigorous analysis: specifically, several popular countermeasures can be formalized as information flow policies, and correct implementation of the countermeasures can be verified with state-of-the-art analysis and verification techniques. However, in absence of further justification, the guarantees only hold for the language (source, target, or intermediate representation) on which the analysis is performed. We consider the problem of preserving side-channel countermeasures by compilation, and present a general method for proving that compilation preserves software-based side-channel countermeasures. The crux of our method is the notion of 2-simulation, which adapts to our setting the notion of simulation from compiler verification. Using the Coq proof assistant, we verify the correctness of our method and of several representative instantiations.

We review the problem of finding the optimal information ratios of graph access structures on six participants. Study of such access structures were initiated by van Dijk [Des. Codes Cryptogr. 15 (1998), 301-321].Through a sequence of follow up works, exact values of optimal information ratios of nine access structures, out of 18 initially unsolved non-isomorphic ones, were determined. Very recently [O. Farras et al. Cryptology ePrint Archive: Report 2017/919], for each of the remained such cases, the known lower bound on the optimal information ratio of linear secret sharing schemes was improved, establishing the optimal information ratio of linear secret sharing schemes for two of them. Here, for each of the other seven cases, we provide a new upper bound on the optimal information ratio of linear secret sharing schemes; our improved upper bounds match the corresponding recently presented lower bounds. Improved upper bounds are achieved using decomposition techniques. As an additional contribution, we present a new decomposition technique, called $(\lambda,\omega)$-weighted decomposition, which is a generalization of all known decomposition techniques.

In [AJPS17], Aggarwal, Joux, Prakash & Santha described an elegant public-key cryptosystem (AJPS-1) mimicking NTRU over the integers. This algorithm relies on the properties of Mersenne primes instead of polynomial rings. A later ePrint [BCGN17] by Beunardeau et al. revised AJPS-1’s initial security estimates. While lower than initially thought, the best known attack on AJPS-1 still seems to leave the defender with an exponential advantage over the attacker [dBDJdW17]. However, this lower exponential advantage implies enlarging AJPS-1’s parameters. This, plus the fact that AJPS-1 encodes only a single plaintext bit per ciphertext, made AJPS-1 impractical. In a recent update, Aggarwal et al. overcame this limitation by extending AJPS-1’s bandwidth. This variant (AJPS-ECC) modifies the definition of the public-key and relies on error-correcting codes. This paper presents a different high-bandwidth construction. By opposition to AJPS-ECC, we do not modify the public-key, avoid using errorcorrecting codes and use backtracking to decrypt. The new algorithm is orthogonal to AJPS-ECC as both mechanisms may be concurrently used in the same ciphertext and cumulate their bandwidth improvement effects. Alternatively, we can increase AJPS-ECC’s information rate by a factor of 26 for the parameters recommended in [AJPS17]. The obtained bandwidth improvement and the fact that encryption and decryption are reasonably efficient, make our scheme an interesting postquantum candidate.

SPDZ denotes a multiparty computation scheme in the preprocessing model based on somewhat homomorphic encryption (SHE) in the form of BGV. At CCS '16, Keller et al. presented MASCOT, a replacement of the preprocessing phase using oblivious transfer instead of SHE, improving by two orders of magnitude on the SPDZ implementation by Damgård et al. (ESORICS '13). In this work, we show that using SHE is faster than MASCOT in many aspects: - We present a protocol that uses semi-homomorphic (addition-only) encryption. For two parties, our BGV-based implementation is 6 times faster than MASCOT on a LAN and 20 times faster in a WAN setting. The latter is roughly the reduction in communication. - We show that using the proof of knowledge in the original work by Damgård et al. (Crypto '12) is more efficient in practice than the one used in the implementation mentioned above by about one order of magnitude. - We present an improvement to the verification of the aforementioned proof of knowledge that increases the performance with a growing number of parties, doubling it for 16 parties.

This paper shows that quantum computers can significantly speed-up a type of meet-in-the-middle attacks initiated by Demiric and Selçuk (DS-MITM attacks), which is currently one of the most powerful cryptanalytic approaches in the classical setting against symmetric-key schemes. The quantum DS-MITM attacks are demonstrated against 6 rounds of the generic Feistel construction supporting an $n$-bit key and an $n$-bit block, which was attacked by Guo et al. in the classical setting with data, time, and memory complexities of $O(2^{3n/4})$. The complexities of our quantum attacks depend on the adversary's model and the number of qubits available. When the adversary has an access to quantum computers for offline computations but online queries are made in a classical manner (so called Q1 model), the attack complexities are $O(2^{n/2})$ classical queries, $O(2^n/q)$ quantum computations by using about $q$ qubits. Those are balanced at $\tilde{O}(2^{n/2})$, which significantly improves the classical attack. Technically, we convert the quantum claw finding algorithm to be suitable in the Q1 model. The attack is then extended to the case that the adversary can make superposition queries (so called Q2 model). The attack approach is drastically changed from the one in the Q1 model; the attack is based on 3-round distinguishers with Simon's algorithm and then appends 3 rounds for key recovery. This can be solved by applying the combination of Simon's and Grover's algorithms recently proposed by Leander and May.

In this work we study speed-ups and time-space trade-offs for solving the shortest vector problem (SVP) on Euclidean lattices based on tuple lattice sieving. Our results extend and improve upon previous work of Bai-Laarhoven-Stehlë [ANTS'16] and Herold-Kirshanova [PKC'17], with better complexities for arbitrary tuple sizes and offering tunable time-memory trade-offs.The trade-offs we obtain stem from the generalization and combination of two algorithmic techniques: the configuration framework introduced by Herold-Kirshanova, and the spherical locality-sensitive filters of Becker-Ducas-Gama-Laarhoven [SODA'16]. When the available memory scales quasi-linearly with the list size, we show that with triple sieving we can solve SVP in dimension $n$ in time $2^{0.3588n + o(n)}$ and space $2^{0.1887n + o(n)}$, improving upon the previous best triple sieve time complexity of $2^{0.3717n + o(n)}$ of Herold-Kirshanova. Using more memory we obtain better asymptotic time complexities. For instance, we obtain a triple sieve requiring only $2^{0.3300n + o(n)}$ time and $2^{0.2075n + o(n)}$ memory to solve SVP in dimension $n$. This improves upon the best double Gauss sieve of Becker-Ducas-Gama-Laarhoven, which runs in $2^{0.3685n + o(n)}$ time when using the same amount of space.

Masking is a widely used countermeasure against Side-Channel Attacks (SCA), but the implementation of these countermeasures is challenging. Experimental security evaluation requires special equipment, a considerable amount of time and extensive technical knowledge. So, to automate and to speed up this process, a formal verification can be performed to asses the security of a design. Multiple theoretical approaches and verification tools have been proposed in the literature. The majority of them are tailored for software implementations, not applicable to hardware since they do not take into account glitches. Existing hardware verification tools are limited either to combinational logic or to small designs due to the computational resources needed. In this work we present VerMI, a verification tool in the form of a logic simulator that checks the properties defined in Threshold Implementations to address the security of a hardware implementation for meaningful orders of security. The tool is designed so that any masking scheme can be evaluated. It accepts combinational and sequential logic and is able to analyze an entire cipher in short time. With the tool we have managed to spot a flaw in the round-based Keccak implementation by Gross et al., published in DSD 2017.

We continue the study of statistical zero-knowledge (SZK) proofs, both interactive and noninteractive, for computational problems on point lattices. We are particularly interested in the problem GapSPP of approximating the $\varepsilon$-smoothing parameter (for some $\varepsilon < 1/2$) of an $n$-dimensional lattice. The smoothing parameter is a key quantity in the study of lattices, and GapSPP has been emerging as a core problem in lattice-based cryptography, e.g., in worst-case to average-case reductions. We show that GapSPP admits SZK proofs for *remarkably low* approximation factors, improving on prior work by up to roughly $\sqrt{n}$. Specifically: -- There is a *noninteractive* SZK proof for $O(\log(n) \sqrt{\log (1/\varepsilon)})$-approximate GapSPP. Moreover, for any negligible $\varepsilon$ and a larger approximation factor $\tilde{O}(\sqrt{n \log(1/\varepsilon)})$, there is such a proof with an *efficient prover*. -- There is an (interactive) SZK proof with an efficient prover for $O(\log n + \sqrt{\log(1/\varepsilon)/\log n})$-approximate coGapSPP. We show this by proving that $O(\log n)$-approximate GapSPP is in coNP. In addition, we give an (interactive) SZK proof with an efficient prover for approximating the lattice *covering radius* to within an $O(\sqrt{n})$ factor, improving upon the prior best factor of $\omega(\sqrt{n \log n})$.

In the setting of secure computation, a set of parties wish to compute a joint function of their private inputs without revealing anything but the output. Garbled circuits, first introduced by Yao, are a central tool in the construction of protocols for secure computation (and other tasks like secure outsourced computation), and are the fastest known method for constant-round protocols. In this paper, we initiate a study of garbling multivalent-logic circuits, which are circuits whose wires may carry values from some finite/infinite set of values (rather than only True and False). In particular, we focus on the three-valued logic system of Kleene, in which the admissible values are True, False, and Unknown. This logic system is used in practice in SQL where some of the values may be missing. Thus, efficient constant-round secure computation of SQL over a distributed database requires the ability to efficiently garble circuits over 3-valued logic. However, as we show, the two natural (naive) methods of garbling 3-valued logic are very expensive. In this paper, we present a general approach for garbling three-valued logic, which is based on first encoding the 3-value logic into Boolean logic, then using standard garbling techniques, and final decoding back into 3-value logic. Interestingly, we find that the specific encoding chosen can have a significant impact on efficiency. Accordingly, the aim is to find Boolean encodings of 3-value logic that enable efficient Boolean garbling (i.e., minimize the number of AND gates). We also show that Boolean AND gates can be garbled at the same cost of garbling XOR gates in the 3-value logic setting. Thus, it is unlikely that an analogue of free-XOR exists for 3-value logic garbling (since this would imply free-AND in the Boolean setting).

We investigate the security of a public-key encryption scheme, the Indeterminate Equation Cryptosystem (IEC), introduced by Akiyama, Goto, Okumura, Takagi, Nuida, and Hanaoka at SAC 2017 as postquantum cryptography. They gave two parameter sets PS1 (n,p,deg X,q) = (80,3,1,921601) and PS2 (n,p,deg X,q) = (80,3,2,58982400019). The paper gives practical key-recovery and message-recovery attacks against those parameter sets of IEC through lattice basis-reduction algorithms. We exploit the fact that n = 80 is composite and adopt the idea of Gentry's attack against NTRU-Composite (EUROCRYPT2001) to this setting. The summary of our attacks follows: * On PS1, we recover 84 private keys from 100 public keys in 30–40 seconds per key. * On PS1, we recover partial information of all message from 100 ciphertexts in a second per ciphertext. * On PS2, we recover partial information of all message from 100 ciphertexts in 30 seconds per ciphertext. Moreover, we also give message-recovery and distinguishing attacks against the parameter sets with prime n, say, n = 83. We exploit another subring to reduce the dimension of lattices in our lattice-based attacks and our attack succeeds in the case of deg X = 2. * For PS2’ (n,p,deg X,q) = (83,3,2,68339982247), we recover 7 messages from 10 random ciphertexts within 61,000 seconds \approx 17 hours per ciphertext. * Even for larger n, we can fnd short vector from lattices to break the underlying assumption of IEC. In our experiment, we can found such vector within 330,000 seconds \approx 4 days for n = 113.

In this work, we introduce a generalized concept for low-latency masking that is applicable to any implementation and protection order, and (in its most extreme form) does not require on-the-fly randomness. The main idea of our approach is to avoid collisions of shared variables in nonlinear circuit parts and to skip the share compression. We show the feasibility of our approach on a full implementation of a one-round unrolled Ascon variant and on an AES S-box case study. Additionally, we discuss possible trade-offs to make our approach interesting for practical implementations. As a result, we obtain a first-order masked AES S-box that is calculated in a single clock cycle with rather high implementation costs (60.7 kGE), and a two-cycle variant with much less implementation costs (6.7 kGE). The side-channel resistance of our Ascon S-box designs up to order three are then verified using the formal analysis tool of [BGI+18]. Furthermore, we introduce a taint checking based verification approach that works specifically for our low-latency approach and allows us to verify large circuits like our low-latency AES S-box design in reasonable time.

Dynamic Searchable Symmetric Encryption (DSSE) allows to delegate keyword search and file update over an encrypted database via encrypted indexes, and therefore provides opportunities to mitigate the data privacy and utilization dilemma in cloud storage platforms. Despite its merits, recent works have shown that efficient DSSE schemes are vulnerable to statistical attacks due to the lack of forward-privacy, whereas forward-private DSSE schemes suffer from practicality concerns as a result of their extreme computation overhead. Due to significant practical impacts of statistical attacks, there is a critical need for new DSSE schemes that can achieve the forward-privacy in a more practical and efficient manner. We propose a new DSSE scheme that we refer to as Forward-private Sublinear DSSE (FS-DSSE). FS-DSSE harnesses special secure update strategies and a novel caching strategy to reduce the computation cost of repeated queries. Therefore, it achieves forward-privacy, sublinear search complexity, low end-to-end delay, and parallelization capability simultaneously. We fully implemented our proposed method and evaluated its performance on a real cloud platform. Our experimental evaluation results showed that the proposed scheme is highly secure and highly efficient compared with state-of-the-art DSSE techniques. Specifically, FS-DSSE is one to three magnitude of times faster than forward-secure DSSE counterparts.

Given the value of imported counterfeit and pirated goods, the need for secure supply chain management is pertinent. Maleki et al. (HOST 2017) propose a new management scheme based on RFID tags (with 2-3K bits NVM) which, if compared to other schemes, is competitive on several performance and security metrics. Its main idea is to have each RFID tag stores its reader events in its own NVM while moving through the supply chain. In order to bind a tag's identity to each event such that an adversary is not able to impersonate the tag's identity on another duplicate tag, a function with a weak form of unforgeability is needed. In this paper, we formally dene this security property, present three constructions (MULTIPLY-ADD, ADD-XOR, and S-Box-CBC) having this security property, and show how to bound the probability of successful impersonation in concrete parameter settings. Finally, we compare our constructions with the light-weight hash function PHOTON used by Maleki et al. in terms of security and circuit area needed. We conclude that our ADD-XOR and S-Box-CBC constructions have approximately 1/4 - 1/3 of PHOTON's total circuit area (this also includes the control circuitry besides PHOTON) while maintaining an appropriate security level which takes care of economically motivated adversaries.

Several ecash systems have been proposed in the last twenty years or so, each offering features similar to real cash. One feature which to date has not been provided is that of a payee giving change to a payer for an e-coin in an off-line setting. In this paper, we indicate how an off-line ecash system can solve the change-giving problem. In addition, our protocol provides the usual expected features of anonymity and unlinkability of the payer, but can reveal the identity of an individual who illegally tries to spend ecash twice.

Linear cryptanalysis considers correlations between linear input and output combiners for block ciphers and stream ciphers. Daemen and Rijmen (2007) had obtained the distributions of the correlations between linear input and output combiners of uniform random functions and uniform random permutations. The present work generalises these results to obtain the distributions of the correlations between arbitrary input and output combiners of uniform random functions and uniform random permutations.

Security and privacy are fundamental objectives characterizing contemporary cloud computing. Despite the wide adoption of encryption for protecting data in transit and at rest, data in use remains unencrypted inside cloud processors and memories, as computation is not applicable on encrypted values. This limitation introduces security risks, as unencrypted values can be leaked through side-channels or hardware Trojans. To address this problem, encrypted architectures have recently been proposed, which leverage homomorphic encryption to natively process encrypted data using datapaths of thousands of bits. In this case, additional security protections are traded for higher performance penalties, which drives the need for more efficient architectures. In this work, we develop benchmarks specifically tailored to encrypted computers, to enable comparisons across different architectures. Our benchmark suite, dubbed TERMinator, is unique as it avoids 'termination problems' that prohibit making control-flow decisions and evaluating early termination conditions based on encrypted data, as these can leak information. Contrary to generic suites that ignore the fundamental challenges of encrypted computation, our algorithms are tailored to the security primitives of the target encrypted architecture, such as the existence of branching oracles. In our experiments, we compiled our benchmarks for the Cryptoleq architecture and evaluated their performance for a range of security parameters.

Linear regression side channel attack (LRA) used to be known as a robust attacking method as it makes use of independent bits leakage. This leakage assumption is more general than Hamming weight/ Hamming distance model used in correlation power attack (CPA). However, in practice, Hamming weight and Hamming distance model suit most devices well. In this paper, we restudy linear regression attack under Hamming weight/ Hamming distance model and propose our novel LRA methods. We find that in many common scenarios LRA is not only an alternative but also a more efficient tool compared with CPA. Two typical cases are recovering keys with XOR operation leakage and chosen plaintext attack on block ciphers with leakages from round output. Simulation results are given to compare with traditional CPA in both cases. Our LRA method achieves up to 400% and 300% improvements for corresponding case compared with CPA respectively. Experiments with AES on SAKURA-G board also prove the efficiency of our methods in practice where 128 key bits are recovered with 1500 traces using XOR operation leakage and one key byte is recovered with only 50 chosen-plaintext traces in the other case.

Remote Attestation (RA) is a popular means of detecting malware presence (or verifying its absence) on embedded and IoT devices. It is especially relevant to low-end devices that are incapable of protecting themselves against infection. Malware that is aware of ongoing or impending attestation and aims to avoid detection can relocate itself during computation of the attestation measurement. In order to thwart such behavior, prior RA techniques are either non-interruptible or explicitly forbid modification of storage during measurement computation. However, since the latter can be a time-consuming task, this curtails availability of device's other (main) functions, which is especially undesirable, or even dangerous, for devices with time- and/or safety-critical missions. In this paper, we propose SMARM, a light-weight technique, based on shuffled measurements, as a defense against roving malware. In SMARM, memory is measured in a randomized and secret order. This does not impact device's availability -- the measurement process can be interrupted, even by malware, which can relocate itself at will. We analyze various malware behaviors and show that, while malware can escape detection in a single attestation instance, it is highly unlikely to avoid eventual detection.

Public key Encryption with Keyword Search (PEKS) aims in mitigating the impacts of data privacy versus utilization dilemma by allowing {\em any user in the system} to send encrypted files to the server to be searched by a receiver. The receiver can retrieve the encrypted files containing specific keywords by providing the corresponding trapdoors of these keywords to the server. Despite their merits, the existing PEKS schemes introduce a high end-to-end delay that may hinder their adoption in practice. Moreover, they do not scale well for large security parameters and provide no post-quantum security promises. In this paper, we propose two novel lattice-based PEKS schemes that offer a high computational efficiency along with better security assurances than that of the existing alternatives. Specifically, our NTRU-PEKS scheme achieves 18 times lower end-to-end delay than the most efficient pairing-based alternatives. Our LWE-PEKS offers provable security in the standard model with a reduction to the worst-case lattice problems. We fully implemented our NTRU-PEKS scheme and benchmarked its performance as deployed on Amazon Web Services cloud infrastructures.

We show that the NISTPQC submission HILA5 is not secure against chosen-ciphertext attacks. Specifically, we demonstrate a key-recovery attack on HILA5 using an active attack on reused keys. The attack works around the error correction in HILA5. The attack applies to the HILA5 key-encapsulation mechanism (KEM), and also to the public-key encryption mechanism (PKE) obtained by NIST's procedure for combining the KEM with authenticated encryption. This contradicts the most natural interpretation of the IND-CCA security claim for HILA5.

Supersingular isogeny Diffie-Hellman (SIDH) is a proposal for a quantum-resistant key exchange. The state-of-the-art implementation works entirely with Montgomery curves and basically can be divided into elliptic curve arithmetic and isogeny arithmetic. It is well known that twisted Edwards curves can provide a more efficient elliptic curve arithmetic. Therefore it was hinted by Costello and Hisil, that by using only Edwards curves for isogeny and curve arithmetic, or a hybrid scheme, that uses Edwards curve arithmetic and switches between the models whenever needed, a speedup in the computation may be gained. Following the latter case, we investigated how to efficiently switch between Montgomery and twisted Edwards curves in SIDH, and how to insert Edwards arithmetic in the current state-of-the-art implementation. We did not gain a speedup compared to the results of Costello, Longa, and Naehrig, but in some cases the performance of Edwards arithmetic is almost equally fast. Thus, we suppose that a hybrid scheme does not improve the performance of SIDH, but still can be interesting for platforms having special hardware acceleration for Edwards curves. However, a full Edwards SIDH version may give a speedup, if fast Edwards isogeny formulas can be found.

Smart Cities draw a nice picture of a connected city where useful services and data are ubiquitous, energy is properly used and urban infrastructures are well orchestrated. Fulfilling this vision in our cities implies unveiling citizens data and assets. Thus, security and data privacy appear as crucial issues to consider. In this paper, we study a way of offering a secured energy management service for diagnosis and classification of buildings in a district upon their energy efficiency. Our remote service can be beneficial both for local authorities and householders without revealing private data. Our framework is designed such that the private data is permanently encrypted and that the server performing the labeling algorithm has no information about the sensitive data and no capability to decrypt it. The underlying cryptographic technology used is homomorphic encryption, allowing to perform calculations directly on encrypted data. We present here the prototype of a crypto-classification service for energy consumption profiles involving different actors of a smart city community, as well as the associated performances results. We assess our proposal atop of real data taken from an Irish residential district and we show that our service can achieve acceptable performances in terms of security, execution times and memory requirements.

We describe an approach to zero-sum partitions using Todo’s division property at EUROCRYPT 2015. It follows the inside-out methodology, and includes MILP-assisted search for the forward and backward trails, and subspace approach to connect those two trails that is less restrictive than commonly done. As an application we choose PHOTON, a family of sponge-like hash function proposals that was recently standardized by ISO. With respect to the security claims made by the designers, we for the first time show zero-sum partitions for almost all of those full 12-round permutation variants that use a 4-bit S-Box. As with essentially any other zero-sum property in the literature, also here the gap between a generic attack and the shortcut is small.

We present here new multivariate schemes that can be seen as HFE generalization having a property called `Two-Face'. Particularly, we present five such families of algorithms named `Dob', `Simple Pat', `General Pat', `Mac', and `Super Two-Face'. These families have connections between them, some of them are refinements or generalizations of others. Notably, some of these schemes can be used for public key encryption, and some for public key signature. We introduce also new multivariate quadratic permutations that may have interest beyond cryptography.

In this paper we improve Wu and Wang's method for finding impossible differentials of block cipher structures. This improvement is more general than Wu and Wang's method that it can find more impossible differentials with less time. We apply it on Gen-CAST256, Misty, Gen-Skipjack, Four-Cell, Gen-MARS, SMS4, MIBS, Camellia*, LBlock, E2 and SNAKE block ciphers. All impossible differentials discovered by the algorithm are the same as Wu's method. Besides, for the 8-round MIBS block cipher, we find 4 new impossible differentials, which are not listed in Wu and Wang's results. The experiment results show that the improved algorithm can not only find more impossible differentials, but also largely reduce the search time.

Cloud storage is in widespread use by individuals and enterprises but introduces a wide array of attack vectors. A basic step for users is to encrypt their data, but it is not obvious what precise security properties are required for encryption. Furthermore, cloud storage providers often use techniques such as data deduplication for improving efficiency which restricts the application of semantically-secure encryption. Generic security goals and attack models have thus far proved elusive: primitives are considered in isolation and protocols are often proved secure under ad hoc models for restricted classes of adversaries. We provide a generic syntax for storage systems that allows us to formally model natural security notions for cloud storage and deduplication. We define security notions for confidentiality and integrity in encrypted cloud storage and determine relations between these notions. We show how to build cloud storage systems that satisfy our defined security notions using generic cryptographic components.

A new unconditionally secure multi-party quantum commitment is proposed in this paperby encoding the committed message to the phase of a quantum state. Multi-party means that there are more than one recipient in our scheme. We show that our quantum commitment scheme is unconditional hiding and binding, and hiding is perfect. Our technique is based on the interference of phase-encoded coherent states of light. Its security proof relies on the no-cloning theorem of quantum theory and the properties of quantum information.

This paper designs and analyzes a quantum algorithm to solve a system of $m$ quadratic equations in $n$ variables over a finite field ${\bf F}_q$. In the case $m=n$ and $q=2$, under standard assumptions, the algorithm takes time $2^{(t+o(1))n}$ on a mesh-connected computer of area $2^{(a+o(1))n}$, where $t\approx 0.45743$ and $a\approx 0.01467$. The area-time product has asymptotic exponent $t+a\approx 0.47210$. For comparison, the area-time product of Grover's algorithm has asymptotic exponent $0.50000$. Parallelizing Grover's algorithm to reach asymptotic time exponent $0.45743$ requires asymptotic area exponent $0.08514$, much larger than $0.01467$.

Scalar multiplication on Legendre form elliptic curves can be speeded up in two ways. One can perform the bulk of the computation either on the associated Kummer line or on an appropriate twisted Edwards form elliptic curve. This paper provides details of moving to and from between Legendre form elliptic curves and associated Kummer line and moving to and from between Legendre form elliptic curves and related twisted Edwards form elliptic curves. Further, concrete twisted Edwards form elliptic curves are identified which correspond to known Kummer lines at the 128-bit security level which provide very fast scalar multiplication on modern architectures supporting SIMD operations.

Side-channel attacks are a threat to cryptographic algorithms running on embedded devices. Public-key cryptosystems, including elliptic curve cryptography (ECC), are particularly vulnerable because their private keys are usually long-term. Well known countermeasures like regularity, projective coordinates and scalar randomization, among others, are used to harden implementations against common side-channel attacks like DPA. Horizontal clustering attacks can theoretically overcome these countermeasures by attacking individual side-channel traces. In practice horizontal attacks have been applied to overcome protected ECC implementations on FPGAs. However, it has not been known yet whether such attacks can be applied to protected implementations working on embedded devices, especially in a non-profiled setting. In this paper we mount non-profiled horizontal clustering attacks on two protected implementations of the Montgomery Ladder on Curve25519 available in the µNaCl library targeting electromagnetic (EM) emanations. The first implementation performs the conditional swap (cswap) operation through arithmetic of field elements (cswap-arith), while the second does so by swapping the pointers (cswap-pointer). They run on a 32-bit ARM Cortex-M4F core. Our best attack has success rates of 97.64% and 99.60% for cswap-arith and cswap-pointer, respectively. This means that at most 6 and 2 bits are incorrectly recovered, and therefore, a subsequent brute-force can fix them in reasonable time. Furthermore, our horizontal clustering framework used for the aforementioned attacks can be applied against other protected implementations.

Double-authentication-preventing signatures (DAPS) are signatures designed with the aim that signing two messages with an identical first part (called address) but different second parts (called payload) allows to publicly extract the secret signing key from two such signatures. A prime application for DAPS is disincentivizing and/or penalizing the creation of two signatures on different payloads within the same address, such as penalizing double spending of transactions in Bitcoin by the loss of the double spender's money. So far DAPS have been constructed from very specific signature schemes not used in practice and using existing techniques it has proved elusive to construct DAPS schemes from signatures widely used in practice. This, unfortunately, has prevented practical adoption of this interesting tool so far. In this paper we ask whether one can construct DAPS from signature schemes used in practice. We affirmatively answer this question by presenting novel techniques to generically construct provably secure DAPS from a large class of discrete logarithm based signatures. This class includes schemes like Schnorr, DSA, EdDSA, and, most interestingly for practical applications, the widely used ECDSA signature scheme. The resulting DAPS are highly efficient and the shortest among all existing DAPS schemes. They are nearly half of the size of the most efficient factoring based schemes (IACR PKC'17) and improve by a factor of 100 over the most efficient discrete logarithm based ones (ACM CCS'15). Although this efficiency comes at the cost of a reduced address space, i.e., size of keys linear in the number of addresses, we will show that this is not a limitation in practice. Moreover, we generalize DAPS to any N>2, which we denote as N-times-authentication-preventing signatures (NAPS). Finally, we also provide an integration of our ECDSA-based DAPS into the OpenSSL library and perform an extensive comparison with existing approaches.

We propose a variant of the CGL hash, Charles et al. 2009, that is significantly faster than the original algorithm, and prove that it is preimage and collision resistant. For $n = \log p$ where $p$ is the characteristic of the finite field, the performance ratio between CGL and the new proposal is $(5.7n + 110) / (13.5\log n + 46.4)$. This gives an exponential speed up as the size of $p$ increases. Assuming the best quantum preimage attack on the hash has complexity $O(p^{\frac{1}{4}})$, we attain a concrete speed-up for a 256-bit quantum preimage security level by a factor 33.5. For a 384-bit quantum preimage security level, the speed-up is by a factor 47.8.

A cryptographic watermarking scheme embeds a message into a program while preserving its functionality. Recently, a number of watermarking schemes have been proposed, which are proven secure in the sense that given one marked program, any attempt to remove the embedded message will substantially change its functionality. In this paper, we formally initiate the study of collusion attacks for watermarking schemes, where the attacker’s goal is to remove the embedded messages given multiple copies of the same program, each with a different embedded message. This is motivated by practical scenarios, where a program may be marked multiple times with different messages. The results of this work are twofold. First, we examine existing cryptographic watermarking schemes and observe that all of them are vulnerable to collusion attacks. Second, we construct collusion resistant watermarking schemes for various cryptographic functionalities (e.g., pseudorandom function evaluation, decryption, etc.). To achieve our second result, we present a new primitive called puncturable functional encryption scheme, which may be of independent interest.

In this paper, we present new key-recovery attacks on AES with a single secret S-Box. Several attacks for this model have been proposed in literature, the most recent ones at Crypto’16 and FSE’17. Both these attacks exploit a particular property of the MixColumns matrix to recover the secret-key. In this work, we show that the same attacks work exploiting a weaker property of the MixColumns matrix. As first result, this allows to (largely) increase the number of MixColumns matrices for which it is possible to set up all these attacks. As a second result, we present new attacks on 5-round AES with a single secret S-Box that exploit the new multiple-of-n property recently proposed at Eurocrypt’17. This property is based on the fact that choosing a particular set of plaintexts, the number of pairs of ciphertexts that lie in a particular subspace is a multiple of n.

Post-quantum cryptography has drawn considerable attention from cryptologists on a global scale. At Asiacrypt 2017, Leander and May combined Grover's and Simon's quantum algorithms to break the FX-based block ciphers, which were introduced by Kilian and Rogaway to strengthen DES. In this study, we investigate the Feistel constructions using Grover's and Simon's algorithms to generate new quantum key-recovery attacks on different rounds of Feistel constructions. Our attacks require $2^{nr/4~-~3n/4}$ quantum queries to break an $r$-round Feistel construction. The time complexity of our attacks is less than that observed for quantum brute-force search by a factor of $2^{0.75n}$. When compared with the best classical attacks, i.e., Dinur \emph{et al.}'s attacks at CRYPTO 2015, the time complexity is reduced by a factor of $2^{0.5n}$ without incurring any memory cost.

A recent paper by Costello and Hisil at Asiacrypt'17 presents efficient formulas for computing isogenies with odd-degree cyclic kernels on Montgomery curves. We provide a constructive proof of a generalization of this theorem which shows the connection between the shape of the isogeny and the simple action of the point (0,0). This generalization removes the restriction of a cyclic kernel and allows for any separable isogeny whose kernel does not contain (0,0). As a particular case, we provide efficient formulas for 2-isogenies between Montgomery curves and show that these formulas can be used in isogeny-based cryptosystems without expensive square root computations and without knowledge of a special point of order 8. We also consider elliptic curves in triangular form containing an explicit point of order 3.

The Camenisch-Lysyanskaya (CL) signature is a very popular tool in cryptography, especially among privacy-preserving constructions. Indeed, the latter benefit from their numerous features such as randomizability. Following the evolution of pairing-based cryptography, with the move from symmetric pairings to asymmetric pairings, Pointcheval and Sanders (PS) proposed at CT-RSA '16 an alternative scheme which improves performances while keeping the same properties. Unfortunately, CL and PS signatures raise concerns in the cryptographic community because they both rely on interactive assumptions that essentially state their EUF-CMA security. This lack of precise security assessment is obviously a barrier to a widespread use of these signatures and a reason for preferring other constructions, such as the ones relying on $q$-type assumptions. In this paper, we study more thoroughly the security of these signatures and prove that it actually relies, for both constructions, on simple variants of the $\textsf{SDH}$ assumption, assuming a slight modification of the original constructions. Our work thus shows that the CL and PS signature schemes offer similar security guarantees as those provided by several other constructions using bilinear groups, and so that one can benefit from their interesting features without jeopardizing security.

Secure Remote Password (SRP) protocol is an augmented Password-based Authenticated Key Exchange (PAKE) protocol based on discrete logarithm problem (DLP) with various attractive security features. Compared with basic PAKE protocols, SRP does not require server to store user's password and user does not send password to server to authenticate. These features are desirable for secure client-server applications. SRP has gained extensive real-world deployment, including Apple iCloud, 1Password etc. However, with the advent of quantum computer and Shor's algorithm, classic DLP-based public key cryptography algorithms are no longer secure, including SRP. Motivated by importance of SRP and threat from quantum attacks, we propose a RLWE-based SRP protocol (RLWE-SRP) which inherit advantages from SRP and elegant design from RLWE key exchange. We also present parameter choice and efficient portable C++ implementation of RLWE-SRP. Implementation of our 209-bit secure RLWE-SRP is more than 3x faster than 112-bit secure original SRP protocol, 5.5x faster than 80-bit secure J-PAKE and 14x faster than two 184-bit secure RLWE-based PAKE protocols with more desired properties.

In this paper we introduce two things: On one hand we introduce the Tile-Probe-and-Fault model, a model generalising the wire-probe model of Ishai et al. extending it to cover both more realistic side-channel leakage scenarios on a chip and also to cover fault and combined attacks. Secondly we introduce CAPA: a combined Countermeasure Against Physical Attacks. Our countermeasure is motivated by our model, and aims to provide security against higher-order SCA, multiple-shot FA and combined attacks. The tile-probe-and-fault model leads one to naturally look (by analogy) at actively secure multi-party computation protocols. Indeed, CAPA draws much inspiration from the MPC protocol SPDZ. So as to demonstrate that the model, and the CAPA countermeasure, are not just theoretical constructions, but could also serve to build practical countermeasures, we present initial experiments of proof-of-concept designs using the CAPA methodology. Namely, a hardware implementation of the KATAN and AES block ciphers, as well as a software bitsliced AES S-box implementation. We demonstrate experimentally that the design can resist second-order DPA attacks, even when the attacker is presented with many hundreds of thousands of traces. In addition our proof-of-concept can also detect faults within our model with high probability in accordance to the methodology.

Nachef et al used differential cryptanalysis to study four types of Generalized Feistel Scheme (GFS). They gave the lower bound of maximum number of rounds that is indistinguishable from a random permutation. In this paper, we study the security of several types of GFS by exploiting the asymmetric property. We show that better lower bounds can be achieved for the Type-1 GFS, Type-3 GFS and Alternating Feistel Scheme. Furthermore, we give the first general results regarding to the lower bound of the Unbalanced Feistel Scheme.

Glitches entail a great issue when securing a cryptographic implementation in hardware. Several masking schemes have been proposed in the literature that provide security even in the presence of glitches. The key property that allows this protection was introduced in threshold implementations as non-completeness. We address crucial points to ensure the right compliance of this property especially for low-latency implementations. Specifically, we first discuss the existence of a flaw in DSD 2017 implementation of Keccak by Gross et al. in violation of the non-completeness property and propose a solution. We perform a side-channel evaluation on the first-order and second-order implementations of the proposed design where no leakage is detected with up to 55 million traces. Then, we present a method to ensure a non-complete scheme of an unrolled implementation applicable to any order of security or algebraic degree of the shared function. By using this method we design a two-rounds unrolled first-order Keccak-f [200] implementation that completes an encryption in 20.61ns, the fastest implementation in the literature to this date.

Two post-quantum password-based authenticated key exchange (PAKE) protocols were proposed at CT-RSA 2017. Following this work, we give much more efficient and portable C++ implementation of these two protocols. We also choose more compact parameters providing 200-bit security. Compared with original implementation, we achieve 21.5x and 18.5x speedup for RLWE-PAK and RLWE-PPK respectively. Compare with quantum-vulnerable J-PAKE protocol, we achieve nearly 8x speedup. We also integrate RLWE-PPK into TLS to construct a post-quantum TLS ciphersuite. This allows simpler key management, mutual authentication and resistant to phishing attack. Benchmark shows that our ciphersuite is indeed practical.