The cloud computing infrastructure relies on virtualized servers that provide isolation across guest OS's through sandboxing. This isolation was demonstrated to be imperfect in past work which exploited hardware level information leakages to gain access to sensitive information across co-located virtual machines (VMs). In response virtualization companies and cloud services providers have disabled features such as deduplication to prevent such attacks. In this work, we introduce a fine-grain cross-core cache attack that exploits access time variations on the last level cache. The attack exploits huge pages to work across VM boundaries without requiring deduplication. No configuration changes on the victim OS are needed, making the attack quite viable. Furthermore, only machine co-location is required, while the target and victim OS can still reside on different cores of the machine. Our new attack is a variation of the prime and probe cache attack whose applicability at the time is limited to L1 cache. In contrast, our attack works in the spirit of the flush and reload attack targeting the shared L3 cache instead. Indeed, by adjusting the huge page size our attack can be customized to work virtually at any cache level/size. We demonstrate the viability of the attack by targeting an OpenSSL1.0.1f implementation of AES. The attack recovers AES keys in the cross-VM setting on Xen 4.1 with deduplication disabled, being only slightly less efficient than the flush and reload attack. Given that huge pages are a standard feature enabled in the memory management unit of OS's and that besides co-location no additional assumptions are needed, the attack we present poses a significant risk to existing cloud servers.

Face recognition is one of the most important biometrics pattern recognitions, which has been widely applied in a variety of enterprise, civilian and law enforcement. The privacy of biometrics data raises important concerns, in particular if computations over biometric data is performed at untrusted servers. In previous work of privacy-preserving face recognition, in order to protect individuals' privacy, face recognition is performed over encrypted face images. However, these results increase the computation cost of the client and the face database owners, which may enable face recognition cannot be efficiently executed. Consequently, it would be desirable to reduce computation over sensitive biometric data in such environments. Currently, no secure techniques for outsourcing face biometric recognition is readily available. In this paper, we propose a privacy-preserving face recognition protocol with outsourced computation for the first time, which efficiently protects individuals' privacy. Our protocol substantially improves the previous works in terms of the online computation cost by outsourcing large computation task to a cloud server who has large computing power. In particular, the overall online computation cost of the client and the database owner in our protocol is at most 1/2 of the corresponding protocol in the state of the art algorithms. In addition, the client requires the decryption operations with only $O(1)$ independent of $M$, where $M$ is the size of the face database. Furthermore, the client can verify the correction of the recognition result.

Sundaresan et al proposed recently a novel ownership transfer protocol for multi-tag multi-owner RFID environments that complies with the EPC Class1 Generation2 standard. The authors claim that this provides individual-owner privacy and prevents tracking attacks. In this paper we show that this protocol falls short of its security objectives. We describe attacks that allow: a) an eavesdropper to trace a tag, b) the previous owner to obtain the private information that the tag shares with the new owner, and c) an adversary that has access to the data stored on a tag to link this tag to previous interrogations (forward-secrecy). We then analyze the security proof and show that while the first two cases can be solved with a more careful design, for lightweight RFID applications strong privacy remains an open problem.

We provide a new result that links two crucial entropy notions: Shannon entropy $\mathrm{H}_1$ and collision entropy $\mathrm{H}_2$. Our formula gives the \emph{worst possible} amount of collision entropy in a probability distribution, when its Shannon entropy is fixed. Our results and techniques used in the proof immediately imply many quantitatively tight separations between Shannon and smooth Renyi entropy, which were previously known as qualitative statements or one-sided bounds. In particular, we precisely calculate the number of bits that can be extracted from a Shannon entropy source, and calculate how far from the uniform distribution is a distribution with the given amount Shannon entropy. To illustrate our results we provide clear numerical examples. In the typical situation, when the gap between Shannon entropy of a distribution and its length is bigger than $1$, the length of the extracted sequence is very small, even if we allow the randomness quality to be poor. In the case of almost full entropy, where the gap is close to $0$, the $\ell_2$-distance to uniform is roughly of the same order as the gap. Therefore, it is actually not possible to decide the strong quality of supposed true randomness, {efficiently and at extremely high confidence level} , by means of Shannon entropy estimators, like Maurer's Universal Test or others. Our approach involves convex optimization techniques, applied to characterize worst case distributions, and the use of the Lambert $W$ function, by which we resolve equations coming from Shannon entropy constraints. We believe that it may be of independent interests and useful in studying Shannon entropy with constraints elsewhere.

Data publish-subscribe service is an effective approach to share and filter data. Due to the huge volume and velocity of data generated daily, cloud systems are inevitably becoming the platform for data publication and subscription. However, the privacy becomes a challenging issue as the cloud server cannot be fully trusted by both data publishers and data subscribers. In this paper, we propose a privacy-preserving data publish-subscribe service for cloud-based platforms. Specifically, we first formulate the problem of privacy-preserving data publish-subscribe service by refining its security requirements on cloud-based platforms. Then, we propose a bi-policy attribute-based encryption (BP-ABE) scheme as the underlying technique that enables the encryptor to define access policies and the decryptor to define filtering policies. Based on BP-ABE, we also propose a \underline{P}rivacy-preserving \underline{D}ata \underline{P}ublish-\underline{S}ubscribe (PDPS) scheme on cloud-based platforms, which enables the cloud server to evaluate both subscription policy and access policy in a privacy-preserving way. The security analysis and performance evaluation show that the PDPS scheme is secure in standard model and efficient in practice.

We construct a lattice-based predicate encryption scheme for multi-dimensional range and multi-dimensional subset queries. Our scheme is selectively secure and weakly attribute-hiding, and its security is based on the standard learning with errors (LWE) assumption. Multi-dimensional range and subset queries capture many interesting applications pertaining to searching on encrypted data. To the best of our knowledge, these are the first lattice-based predicate encryption schemes for functionalities beyond IBE and inner product.

The concept of multivariate bijective map of an affine space $K^n$ over commutative Ring $K$ was already used in Cryptography. We consider the idea of nonbijective multivariate polynomial map $F_n$ of $K^n$ into $K^n$ represented as ''partially invertible decomposition'' $F^{(1)}_nF^{(2)}_n \dots F^{(k)}_n$, $k=k(n)$, such that knowledge on the decomposition and given value $u=F(v)$ allow to restore a special part $v'$ of reimage $v$. We combine an idea of ''oil and vinegar signatures cryptosystem'' with the idea of linguistic graph based map with partially invertible decomposition to introduce a new cryptosystem. The decomposition will be induced by pseudorandom walk on the linguistic graph and its special quotient (homomorphic image). We estimate the complexity of such general algorithm in case of special family of graphs with quotients, where both graphs form known families of Extremal Graph Theory. The map created by key holder (Alice) corresponds to pseudorandom sequence of ring elements. The postquantum version of the algorithm can be obtained simply by the usage of random strings instead of pseudorandom.

The Blind Seer system (Oakland 2014) is an efficient and scalable DBMS that affords both client query privacy and server data protection. It also provides the ability to enforce authorization policies on the system, restricting client’s queries while maintaining the privacy of both query and policy. Blind Seer supports a rich query set, including arbitrary boolean formulas, and is provably secure with respect to a controlled amount of search pattern leakage. No other system to date achieves this tradeoff of performance, generality, and provable privacy. A major shortcoming of Blind Seer is its reliance on semi-honest security, particularly for access control and data protection. A malicious client could easily cheat the query authorization policy and obtain any database records satisfying any query of its choice, thus violating basic security features of any standard DBMS. In sum, Blind Seer offers additional privacy to a client, but sacrifices a basic security tenet of DBMS. In the present work, we completely resolve the issue of a malicious client. We show how to achieve robust access control and data protection in Blind Seer with virtually no added cost to performance or privacy. Our approach also involves a novel technique for a semi-private function secure function evaluation (SPF-SFE) that may have independent applications. We fully implement our solution and report on its performance.

Solving polynomial systems with noise over F_2 is a fundamental problem in computer science, especially in cryptanalysis. ISBS is a new method for solving this problem based on the idea of incrementally solving the noisy polynomial systems and backtracking all the possible noises, and it has better performance than other methods in solving the some problems generated from cryptanalysis. In this paper, some further researches on ISBS are presented. The structure and size of the search tree of ISBS are theoretically analyzed. Then two major improvements, artificial noise-bound strategy and s-direction approach, are proposed. Based on these improvements, a modified ISBS algorithm is implemented, and the experiments of solving the Cold Boot key recovery problems of block cipher Serpent with symmetric noise, show that this modified algorithm is more efficient than the original one.

Fuzzy extractors (Dodis et al., SIAM J. Computing 2008) convert repeated noisy readings of a high-entropy secret into the same uniformly distributed key. A minimum condition for the security of the key is the hardness of guessing a value that is similar to the secret, because the fuzzy extractor converts such a guess to the key. We codify this quantify this property in a new notion called fuzzy min-entropy. We ask: is fuzzy min-entropy sufficient to build fuzzy extractors? We provide two answers for different settings. 1) If the algorithms have precise knowledge of the probability distribution $W$ that defines the noisy source is a sufficient condition for information-theoretic key extraction from $W$. 2) A more ambitious goal is to design a single extractor that works for all possible sources. This more ambitious goal is impossible: there is a family of sources with high fuzzy min-entropy for which no single fuzzy extractor is secure. This is true in three settings: a) for standard fuzzy extractors, b) for fuzzy extractors that are allowed to sometimes be wrong, c) and for secure sketches, which are the main ingredient of most fuzzy extractor constructions.

We introduce and study the notion of non-interactive secure multiparty computation (NIMPC). An NIMPC protocol for a function $f(x_1,\ldots,x_n)$ is specified by a joint probability distribution $R=(R_1,\ldots,R_n)$ and local encoding functions $Enc_i(x_i,R_i)$, $1 <= i <= n$. Given correlated randomness $(R_1,\ldots,R_n)\in_R R$, each party $P_i$, using its input $x_i$ and its randomness $R_i$, computes the message $m_i= Enc_i(x_i,R_i)$. The messages $m_1,\ldots,m_n$ can be used to decode $f(x_1,\ldots,x_n)$. For a set $T\subseteq[n]$, the protocol is said to be $T$-robust if revealing the messages $(Enc_i(x_i,R_i))_{i\not\in T}$ together with the randomness $(R_i)_{i\in T}$ gives the same information about $(x_i)_{i\not\in T}$ as an oracle access to the function $f$ restricted to these input values. Namely, a coalition $T$ can learn no more than the restriction of $f$ fixing the inputs of uncorrupted parties, which, in this non-interactive setting, one cannot hope to hide. For $0\le t\le n$, the protocol is $t$-robust if it is $T$-robust for every $T$ of size at most $t$ and it is fully robust if it is $n$-robust. A 0-robust NIMPC protocol for $f$ coincides with a protocol in the private simultaneous messages model of Feige et al.~(STOC 1994). In the setting of computational (indistinguishability-based) security, fully robust NIMPC is implied by multi-input functional encryption, a notion that was recently introduced by Goldwasser et al. (Eurocrypt 2014) and realized using indistinguishability obfuscation. We consider NIMPC in the information-theoretic setting and obtain unconditional positive results for some special cases of interest: Group products. For every (possibly non-abelian) finite group $G$, the iterated group product function $f(x_1,\ldots,x_n)=x_1x_2\ldots x_n$ admits an efficient, fully robust NIMPC protocol. Small functions. Every function $f$ admits a fully robust NIMPC protocol whose complexity is polynomial in the size of the input domain (i.e., exponential in the total bit-length of the inputs). Symmetric functions. Every symmetric function $f:\X^n\to \Y$, where $\X$ is an input domain of constant size, admits a $t$-robust NIMPC protocol of complexity $n^{O(t)}$. For the case where $f$ is a $w$-out-of-$n$ threshold function, we get a fully robust protocol of complexity $n^{O(w)}$. On the negative side, we show that natural attempts to realize NIMPC using private simultaneous messages protocols and garbling schemes from the literature fail to achieve even 1-robustness.

Web applications are subject to several types of attacks. In particular, side-channel attacks consist in performing a statistical analysis of the web traffic to gain sensitive information about a client. In this paper, we investigate how side-channel leaks can be used on search engines such as Google or Bing to retrieve the client's search query. In contrast to previous works, due to payload randomization and compression, it is not always possible to uniquely map a search query to a web traffic signature and hence stochastic algorithms must be used. They yield, for the French language, an exact recovery of search word in more than 30% of the cases. Finally, we present some methods to mitigate such side-channel leaks.

In this work, we look at authenticated encryption schemes from a new perspective. As opposed to focusing solely on the {\em ``security''} implications of the different methods for constructing authenticated encryption schemes, we investigate the effect of the method used to construct an authenticated encryption scheme on the {\em ``performance''} of the construction. We show that, as opposed to the current NIST standard, by performing the authentication operation before the encryption operation, the computational efficiency of the construction can be increased, without affecting the security of the overall construction. In fact, we show that the proposed construction is even more secure than standard authentication based on universal hashing in the sense that the hashing key is resilient to key recovery attacks.

We study the maximal achievable accuracy of distributed differentially private protocols for a large natural class of boolean functions, in the computational setting. In the information theoretic model, McGregor et al. [FOCS 2010] and Goyal et al. [CRYPTO 2013] have demonstrated several functionalities whose differentially private computation results in much lower accuracies in the distributed setting, as compared to the client-server setting. We explore lower bounds on the computational assumptions under which this particular accuracy gap can be possibly reduced for general two-party boolean output functions. In the distributed setting, it is possible to achieve optimal accuracy, i.e. the maximal achievable accuracy in the client-server setting, for any function, if a semi-honest secure protocol for oblivious transfer exists. However, we show the following strong impossibility results: 1) For any boolean function and fixed level of privacy, the maximal achievable accuracy of any (fully) black-box construction based on existence of key-agreement protocols is at least a constant smaller than optimal achievable accuracy. Since key-agreement protocols imply the existence of one-way functions, this separation also extends to one-way functions. 2) Our results are tight for the AND and XOR functions. For AND, there exists an accuracy threshold such that any accuracy up to the threshold can be information theoretically achieved; while no (fully) black-box construction based on existence of key-agreement can achieve accuracy beyond this threshold. An analogous statement is also true for XOR (albeit with a different accuracy threshold). Our results build on recent developments in black-box separation techniques for functions with private input; and consequently translate information theoretic impossibilities into black-box separation results.

We consider a public and keyless code $(\Enc,\Dec)$ which is used to encode a message $m$ and derive a codeword $c = \Enc(m)$. The codeword can be adversarially tampered via a function $f \in \F$ from some tampering function family $\F$, resulting in a tampered value $c' = f(c)$. We study the different types of security guarantees that can be achieved in this scenario for different families $\F$ of tampering attacks. Firstly, we initiate the general study of tamper-detection codes, which must detect that tampering occurred and output $\Dec(c') = \bot$. We show that such codes exist for any family of functions $\F$ over $n$ bit codewords, as long as $|\F| < 2^{2^n}$ is sufficiently smaller than the set of all possible functions, and the functions $f \in \F$ are further restricted in two ways: (1) they can only have a few fixed points $x$ such that $f(x)=x$, (2) they must have high entropy of $f(x)$ over a random $x$. Such codes can also be made efficient when $|\F| = 2^{\poly(n)}$. For example, $\F$ can be the family of all low-degree polynomials excluding constant and identity polynomials. Such tamper-detection codes generalize the algebraic manipulation detection (AMD) codes of Cramer et al. (EUROCRYPT '08). Next, we revisit non-malleable codes, which were introduced by Dziembowski, Pietrzak and Wichs (ICS '10) and require that $\Dec(c')$ either decodes to the original message $m$, or to some unrelated value (possibly $\bot$) that doesn't provide any information about $m$. We give a modular construction of non-malleable codes by combining tamper-detection codes and leakage-resilient codes. This gives an alternate proof of the existence of non-malleable codes with optimal rate for any family $\F$ of size $|\F| < 2^{2^n}$, as well as efficient constructions for families of size $|\F| = 2^{\poly(n)}$. Finally, we initiate the general study of continuous non-malleable codes, which provide a non-malleability guarantee against an attacker that can tamper a codeword multiple times. We define several variants of the problem depending on: (I) whether tampering is persistent and each successive attack modifies the codeword that has been modified by previous attacks, or whether tampering is non-persistent and is always applied to the original codeword, (II) whether we can self-destruct and stop the experiment if a tampered codeword is ever detected to be invalid or whether the attacker can always tamper more. In the case of persistent tampering and self-destruct (weakest case), we get a broad existence results, essentially matching what's known for standard non-malleable codes. In the case of non-persistent tampering and no self-destruct (strongest case), we must further restrict the tampering functions to have few fixed points and high entropy. The two intermediate cases correspond to requiring only one of the above two restrictions. These results have applications in cryptography to related-key attack (RKA) security and to protecting devices against tampering attacks without requiring state or randomness.

A necessary and sufficient condition for the asymptotic idealness of the Asmuth-Bloom threshold secret sharing scheme is proposed. Apart from this, a comprehensive analysis of the known variants of the Asmuth-Bloom threshold secret sharing scheme is provided, clarifying the security properties achieved by each of them.

This paper presents a new and more realistic model for fault attacks and statistical and algebraic techniques to improve fault analysis in general. Our algebraic techniques is an adapted solver for systems of equations based on ElimLin and XSL. We use these techniques to introduce two new fault attacks on the hardware oriented block cipher Katan32 from the Katan family of block ciphers. We are able to break full Katan using $4$ faults and $2^{29.04}$ Katan evaluations with a theoretical statistical fault attack and $7.19$ faults in $2^{27.2}$ Katan evaluations with a tested algebraic one. This is a great improvement over the existing fault attacks which need $115$ and $140$ faults respectively. Furthermore, our algebraic attack can be executed on a normal computer.

The simplicity and widespread use of blockciphers based on the iterated Even--Mansour (EM) construction has sparked recent interest in the theoretical study of their security. Previous work has established their strong pseudorandom permutation and indifferentiability properties, with some matching lower bounds presented to demonstrate tightness. In this work we initiate the study of the EM ciphers under related-key attacks which, despite extensive prior work, has received little attention. We show that the simplest one-round EM cipher is strong enough to achieve non-trivial levels of RKA security even under chosen-ciphertext attacks. This class, however, does not include the practically relevant case of offsetting keys by constants. We show that two rounds suffice to reach this level under chosen-plaintext attacks and that three rounds can boost security to resist chosen-ciphertext attacks. We also formalize how indifferentiability relates to RKA security, showing strong positive results despite counterexamples presented for indifferentiability in multi-stage games.

Most side channel countermeasures for software implementations of cryptography either rely on masking or randomize the execution order of the cryptographic implementation. This work proposes a countermeasure that has constant leakage in common linear leakage models. Constant leakage is achieved not only for internal state values, but also for their transitions. The proposed countermeasure provides perfect protection in the theoretical leakage model. To study the practical relevance of the proposed countermeasure, it is applied to a software implementation of the block cipher Prince. This case study allows us to give realistic values for resulting implementation overheads as well as for the resulting side channel protection levels that can be achieved in realistic implementation scenarios.

Pseudorandom generators, which produce keystreams for stream ciphers by the exclusive-or sum of output bits from alternately clocked linear feedback shift registers, are vulnerable to cryptanalysis. In order to increase their resistance to attacks, we introduce a nonlinear scrambler at the output of these generators. The role of the scrambler plays the nonlinear feedback shift register. In addition, we propose the Modified Alternating Step Generator (MASG1S) built with the nonlinear scrambler and regularly or irregularly clocked linear feedback shift registers with nonlinear filtering functions.

Cryptographic primitives based on infinite families of progressively weaker assumptions have been proposed by Hofheinz-Kiltz and by Shacham (the n-Linear assumptions) and by Escala et al. (the Matrix Diffie-Hellman assumptions). All of these assumptions are extensions of the decisional Diffie-Hellman (DDH) assumption. In contrast, in this paper, we construct (additive) homomorphic encryption (HE) schemes based on a new infinite family of assumptions extending the decisional Composite Residuosity (DCR) assumption. This is the first result on a primitive based on an infinite family of progressively weaker assumptions not originating from the DDH assumption. Our assumptions are indexed by rooted trees, and provides a completely different structure compared to the previous extensions of the DDH assumption. Our construction of a HE scheme is generic; based on a tree structure, we recursively combine copies of building-block HE schemes associated to each leaf of the tree (e.g., the Paillier cryptosystem, for our DCR-based result mentioned above). Our construction for depth-one trees utilizes the "share-then-encrypt" multiple encryption paradigm, modified appropriately to ensure security of the resulting HE schemes. We prove several separations between the CPA security of our HE schemes based on different trees; for example, the existence of an adversary capable of breaking all schemes based on depth-one trees, does not imply an adversary against our scheme based on a depth-two tree (within a computational model analogous to the generic group model). Moreover, based on our results, we give an example which reveals a type of "non-monotonicity" for security of generic constructions of cryptographic schemes and their building-block primitives; if the building-block primitives for a scheme are replaced with other ones secure under stronger assumptions, it may happen that the resulting scheme becomes secure under a weaker assumption than the original.

Prime Boolean ideal has the basis of the form (x1 + e1, ..., xn + en) that consists of linear binomials. Its variety consists of the point (e1, ..., en). Complication of the basis is changing the simple linear binomials by non-linear polynomials in such a way, that the variety of ideal stays fixed. Simplification of the basis is obtaining the basis that consists of linear binomials from the complicated one that keeps its variety. Since any ideal is a module over the ring of Boolean polynomials, the change of the basis is uniquely determined by invertible matrix over the ring. Algorithms for invertible simplifying and complicating the basis of Boolean ideal that fixes the size of basis are proposed. Algorithm of simplification optimizes the choose of pairs of polynomials during the Groebner basis computation, and eliminates variables without using resultants.

When analyzing lattice based cryptosystems, we often need to solve the Shortest Vector Problem (SVP) in some lattice associated to the system under scrutiny. The go-to algorithms in practice to solve SVP are enumeration algorithms, which usually consist of a preprocessing step, followed by an exhaustive search. Obviously, the two steps offer a trade-off and should be balanced in their running time in order to minimize the overall complexity. In practice, the most common approach to control this trade-off is to use block reduction algorithms during the preprocessing. Despite the popularity of this approach, it lacks any well founded analysis and all practical approaches seem to use ad hoc parameters. This weakens our confidence in the cryptanalysis of the systems. In this work, we aim to shed light on at least one side of this trade-off and analyze the effect of block reduction on the exhaustive search. For this, we give asymptotic worst case bounds and presents results from both experiments and simulation that show its average case behavior in practice.

The last several years have witnessed a surge of activity in lightweight cryptographic design. Many lightweight block ciphers have been proposed, targeted mostly at hardware applications. Typically software performance has not been a priority, and consequently software performance for many of these algorithms is unexceptional. SIMON and SPECK are lightweight block cipher families developed by the U.S. National Security Agency for high performance in constrained hardware and software environments. In this paper, we discuss software performance and demonstrate how to achieve high performance implementations of SIMON and SPECK on the AVR family of 8-bit microcontrollers. Both ciphers compare favorably to other lightweight block ciphers on this platform. Indeed, SPECK seems to have better overall performance than any existing block cipher --- lightweight or not.

This paper presents a new fast public key cryptosystem namely : a key exchange algorithm, a public key encryption algorithm and a digital signature algorithm, based on the difficulty to invert the following function : F(x) = (a * x)Mod(2 power p)Div(2 power q) . Mod is modulo operation , Div is integer division operation , a , p and q are integers where (p > q) . In this paper we also evaluate the hardness of this problem by reducing it to SAT .

SHA-2 (SHA-224, SHA-256, SHA-384 and SHA-512) is hash function family issued by the National Institute of Standards and Technology (NIST) in 2002 and is widely used all over the world. In this work, we analyze the security of SHA-512 with respect to boomerang attack. Boomerang distinguisher on SHA-512 compression function reduced to 48 steps is proposed, with a practical complexity of $2^{51}$. A practical example of the distinguisher for 48-step SHA-512 is also given. As far as we know, it is the best practical attack on step-reduced SHA-512.

Structure-preserving signatures (SPS) are a powerful building block for cryptographic protocols. We introduce SPS on equivalence classes (SPS-EQ), which allow joint randomization of messages and signatures. Messages are projective equivalence classes defined on group element vectors, so multiplying a vector by a scalar yields a different representative of the same class. Our scheme lets one adapt a signature for one representative to a signature for another representative without knowledge of any secret. Moreover, given a signature, an adapted signature for a different representative is indistinguishable from a fresh signature on a random message. We propose a definitional framework for SPS-EQ and an efficient construction in Type-3 bilinear groups, which we prove secure against generic forgers. We also introduce set-commitment schemes that let one open subsets of the committed set. From this and SPS-EQ we then build an efficient multi-show attribute-based anonymous credential system for an arbitrary number of attributes. Our ABC system avoids costly zero-knowledge proofs and only requires a short interactive proof to thwart replay attacks. It is the first credential system whose bandwidth required for credential showing is independent of the number of its attributes, i.e., constant-size. We propose strengthened game-based security definitions for ABC and prove our scheme anonymous against malicious organizations in the standard model; finally, we discuss a concurrently secure variant in the CRS model.

Over the past decade, Hardware Trojans (HTs) research community has made significant progress towards developing effective countermeasures for various types of HTs, yet these countermeasures are shown to be circumvented by sophisticated HTs designed subsequently. Therefore, instead of guaranteeing a certain (low) false negative rate for a small \textit{constant} set of publicly known HTs, a rigorous security framework of HTs should provide an effective algorithm to detect any HT from an \textit{exponentially large} class (exponential in number of wires in IP core) of HTs with negligible false negative rate. In this work, we present HaTCh, the first rigorous algorithm of HT detection within the paradigm of pre-silicon logic testing based tools. HaTCh detects any HT from $H_D$, a huge class of deterministic HTs which is orders of magnitude larger than the small subclass (e.g. TrustHub) considered in the current literature. We prove that HaTCh offers negligible false negative rate and controllable false positive rate for the class $H_D$. Given certain global characteristics regarding the stealthiness of the HT within $H_D$, the computational complexity of HaTCh for practical HTs scales polynomially with the number of wires in the IP core. We implement and test HaTCh on TrustHub and other sophisticated HTs.

Differing inputs obfuscation (diO) is a strengthening of indistinguishability obfuscation (iO) that has recently found applications to improving the efficiency and generality of obfuscation, functional encryption, and related primitives. Roughly speaking, a diO scheme ensures that the obfuscations of two efficiently generated programs are indistinguishable not only if the two programs are equivalent, but also if it is hard to find an input on which their outputs differ. The above ``indistinguishability'' and ``hardness'' conditions should hold even in the presence of an auxiliary input that is generated together with the programs. The recent works of Boyle and Pass (ePrint 2013) and Garg et al. (Crypto 2014) cast serious doubt on the plausibility of general-purpose diO with respect to general auxiliary inputs. This leaves open the existence of a variant of diO that is plausible, simple, and useful for applications. We suggest such a diO variant that we call {\em public-coin} diO. A public-coin diO restricts the original definition of diO by requiring the auxiliary input to be a public random string which is given as input to all relevant algorithms. In contrast to standard diO, we argue that it remains very plausible that current candidate constructions of iO for circuits satisfy the public-coin diO requirement. We demonstrate the usefulness of the new notion by showing that several applications of diO can be obtained by relying on the public-coin variant instead. These include constructions of {\em succinct} obfuscation and functional encryption schemes for Turing Machines, where the size of the obfuscated code or keys is essentially independent of the running time and space.

Yao's garbled circuit construction is a fundamental construction in cryptography and recent efficiency optimizations have brought it much closer to practice. However these constructions work only for circuits and garbling a RAM program involves the inefficient process of first converting it into a circuit. Towards the goal of avoiding this inefficiency, Lu and Ostrovsky (Eurocrypt 2013) introduced the notion of ``garbled RAM'' as a method to garble RAM programs directly. It can be seen as a RAM analogue of Yao's garbled circuits such that, the size of the garbled program and the time it takes to create and evaluate it, is proportional only to the running time on the RAM program rather than its circuit size. Known realizations of this primitive, either need to rely on strong computational assumptions or do not achieve the aforementioned efficiency (Gentry, Halevi, Lu, Ostrovsky, Raykova and Wichs, EUROCRYPT 2014). In this paper we provide the first construction with strictly poly-logarithmic overhead in both space and time based only on the minimal and necessary assumption that one-way functions exist. Our scheme allows for garbling multiple programs being executed on a persistent database, and has the additional feature that the program garbling is decoupled from the database garbling. This allows a client to provide multiple garbled programs to the server as part of a pre-processing phase and then later determine the order and the inputs on which these programs are to be executed, doing work independent of the running times of the programs itself.

In CRYPTO 2012, Sahai et al. raised the concern that in a cloud control system revocation of past keys should also be accompanied by updation of previously generated ciphertexts in order to prevent unread ciphertexts from being read by revoked users. Self-updatable encryption (SUE), introduced by Lee et al. in ASIACRYPT 2013, is a newly developed cryptographic primitive that realizes ciphertext update as an inbuilt functionality and thus improves the efficiency of key revocation and time evolution in cloud management. In SUE, a user can decrypt a ciphertext associated with a specific time if and only if the user possesses a private key corresponding to either the same time as that of the ciphertext or some future time. Furthermore, a ciphertext attached to a certain time can be updated to a new one attached to a future time using only public information. The SUE schemes available in the literature are either (a) fully secure but developed in a composite order bilinear group setting under highly non-standard assumptions or (b) designed in prime order bilinear groups but only selectively secure. This paper presents the first fully secure SUE scheme in prime order bilinear groups under standard assumptions, namely, the Decisional Linear and the Decisional Bilinear Diffie-Hellman assumptions. As pointed out by Freeman (EUROCRYPT 2010)and Lewko (EUROCRYPT 2012), the communication and storage, as well as, computational efficiency of prime order bilinear groups are much higher compared to that of composite order bilinear groups with an equivalent level of security. Consequently, our SUE scheme is highly cost-effective than the existing fully secure SUE.

In 2010, Sood et al [3] proposed a secure dynamic identity based authentication scheme using smart cards. They claimed that their scheme is secure against various attacks. In this paper, we improve their scheme for outsider attack as well as insider attack. To remedy these security flaws, an improved scheme is proposed to withstand these attacks.

We present a fuzzy extractor whose security can be reduced to the hardness of Learning Parity with Noise (LPN) and can efficiently correct a constant fraction of errors in a biometric source with a ``noise-avoiding trapdoor." Using this computational fuzzy extractor, we present a stateless construction of a cryptographically-secure Physical Unclonable Function. Our construct requires no non-volatile (permanent) storage, secure or otherwise, and its computational security can be reduced to the hardness of an LPN variant under the random oracle model. The construction is ``stateless,'' because there is \emph{no} information stored between subsequent queries, which mitigates attacks against the PUF via tampering. Moreover, our stateless construction corresponds to a PUF whose outputs are free of noise because of internal error-correcting capability, which enables a host of applications beyond authentication. We describe the construction, provide a proof of computational security, analysis of the security parameter for system parameter choices, and present experimental evidence that the construction is practical and reliable under a wide environmental range.

In 2010, Lewko, Sahai and Waters proposed an efficient revocation system but they neglected the security differences between one-to-one encryption and one-to-many encryption. In their system, an authority generates all users' decryption keys once and for all. We remark that the inherent drawback results in that the system is vulnerable to an attack launched by some malicious users. These malicious users could exchange their decryption keys after they receive them from the authority in order to maximize their own interests. Thus, the Lewko-Sahai-Waters revocation system cannot truly revoke a malicious user. From the practical point of view, the flaw discounts greatly the importance of the system.

Secure multiparty computation (SMC) offers a technique to preserve functionality and data privacy in mobile applications. Current protocols that make this costly cryptographic construction feasible on mobile devices securely outsource the bulk of the computation to a cloud provider. However, these outsourcing techniques are built on specific secure computation assumptions and tools, and applying new SMC ideas to the outsourced setting requires the protocols to be completely rebuilt and proven secure. In this work, we develop a generic technique for lifting any secure two-party computation protocol into an outsourced two-party SMC protocol. By augmenting the function being evaluated with auxiliary consistency checks and input values, we can create an outsourced protocol with low overhead cost. Our implementation and evaluation show that in the best case, our outsourcing additions execute within the confidence intervals of two servers running the same computation, and consume approximately the same bandwidth. In addition, the mobile device itself uses minimal bandwidth over a single round of communication. This work demonstrates that efficient outsourcing is possible with any underlying SMC scheme, and provides an outsourcing protocol that is efficient and directly applicable to current and future SMC techniques.

Multi-variate side-channel attacks allow to break higher-order masking protections by combining several leakage samples. But how to optimally extract all the information contained in all possible $d$-tuples of points? In this article, we introduce preprocessing tools that answer this question. We first show that maximizing the higher-order CPA coefficient is equivalent to finding the maximum of the covariance. We apply this equivalence to the problem of trace dimensionality reduction by linear combination of its samples. Then we establish the link between this problem and the Principal Component Analysis. In a second step we present the optimal solution for the problem of maximizing the covariance. We also theoretically and empirically compare these methods. We finally apply them on real measurements, publicly available under the DPA Contest v4, to evaluate how the proposed techniques improve the second-order CPA (2O-CPA).

Even though Zero-knowledge has existed for more than 30 years, few generic constructions for Zero-knowledge exist. In this paper we present a new kind of commitment scheme on which we build a novel and efficient Zero-knowledge protocol for circuit satisfiability. We can prove knowledge of the AES-key which map a particular plaintext to a particular ciphertext in less than 4 seconds with a soundness error of $2^{-40}$. Our protocol only requires a number of commitments proportional to the security parameter with a small constant (roughly 5).

Proxy Re-Encryption was introduced by Blaze, Bleumer and Strauss to efficiently solve the problem of delegation of decryption rights. In proxy re-encryption, a semi-honest proxy transforms a ciphertext intended for Alice to a ciphertext of the same message for Bob without learning anything about the underlying message. From its introduction, several proxy re-encryption schemes in the Public Key Infrastructure (PKI) and Identity (ID) based setting have been proposed. In practice, systems in the public key infrastructure suffer from the \textit{certificate management problem} and those in identity based setting suffer from the \textit{key escrow problem}. Certificateless Proxy Re-encryption schemes enjoy the advantages provided by ID-based constructions without suffering from the key escrow problem. In this work, we construct the \textit{first} unidirectional, single-hop CCA-secure certificateless proxy re-encryption scheme \textit{without} \textit{pairing} by extending the PKI based construction of Chow et al. proposed in 2010. We prove its security in the random oracle model under the Computational Diffie-Hellman (CDH) assumption. Prior to this work, the only secure certificateless proxy re-encryption scheme is due to Guo et al. proposed in 2013 using bilinear pairing. They proved their construction is RCCA-secure under $q$-weak Decisional Bilinear Diffie-Hellman assumption. The construction proposed in this work is more efficient than that system and its security relies on more standard assumptions. We also show that the recently proposed construction of Yang et al. is insecure with respect to the security model considered in this work.

Biclique cryptanalysis is a recent technique that has been successfully applied to AES resulting in key recovery faster than brute force. However, a major hurdle in carrying out biclique cryptanalysis on AES is that it requires very high data complexity. This naturally warrants questions over the practical feasibility of implementing biclique attack in the real world. In Crypto'13, Canteaut et al. proposed biclique attack where the data complexity of the attack was reduced to a single plaintext-ciphertext pair. However, no application of the same on AES was suggested. In this paper, we re-evaluate the security-bound of full round AES against biclique attack. Under some reasonable restrictions, we exhaustively analyze the most promising class of biclique cryptanalysis as applied to AES through a computer-assisted search and find optimal attacks towards lowest computational and data complexities: - Among attacks with the minimal data complexity of the unicity distance, the ones with computational complexity 2^126.67 (for AES-128), 2^190.9 (for AES-192) and 2^255 (for AES-256) are the fastest. Each attack just requires 2 (for AES-128 and AES-192) or 3 (for AES-256) known plaintexts for success probability 1. We obtain these results using the improved biclique attack proposed in Crypto'13. - Among attacks with data complexity less than the full codebook, for AES-128, the ones of computational complexity 2^126.16 are fastest. Within these, the one with data complexity 2^64 requires the smallest amount of data. Thus, the original attack (with data complexity 2^88) did not have the optimal data complexity for AES-128. Similar findings are observed for AES-192 as well (data complexity 2^48 as against 2^80 in the original attack). For AES-256, we find an attack that has a lower computational complexity of 2^254.31 as compared to the original attack complexity of 2^254.42. - Among all attacks covered, the ones of computational complexity 2^125.56 (for AES-128), 2^189.51 (for AES-192) and 2^253.87 (for AES-256) are fastest, though requiring the full codebook. This can be considered as an indication of the limitations of the independent-biclique attack approach as applied to AES.

In this article, we analyse the security of the authenticated encryption mode JAMBU, a submission to the CAESAR competition that remains currently unbroken. We show that the security claims of this candidate regarding its nonce-misuse resistance can be broken. More precisely, we explain a technique to guess in advance a ciphertext block corresponding to a plaintext that has never been queried before (nor its prefix), thus breaking the confidentiality of the scheme when the attacker can make encryption queries with the same nonce. Our attack is very practical as it requires only about 2^{32} encryption queries and computations (instead of the 2^{128} claimed by the designers). Our cryptanalysis has been fully implemented in order to verify our findings. Moreover, due to the small tag length of JAMBU, we show how this attack can be extended in the nonce-respecting scenario to break confidentiality in the adaptative chosen-ciphertext model (IND-CCA2) with 2^{96} computations, with message prefixes not previously queried.

In recent work Cheon, Han, Lee, Ryu, and Stehle presented an attack on the multilinear map of Coron, Lepoint, and Tibouchi (CLT). They show that given many low-level encodings of zero, the CLT multilinear map can be completely broken, recovering the secret factorization of the CLT modulus. The attack is a generalization of the "zeroizing" attack of Garg, Gentry, and Halevi. We first strengthen the attack of Cheon, Han, Lee, Ryu, and Stehle by showing that CLT can be broken even without low-level encodings of zero. This strengthening is sufficient to show that the subgroup elimination assumption does not hold for the CLT multilinear map. We then present a generic defense against this type of "zeroizing" attack. For an arbitrary asymmetric composite-order multilinear map (including CLT), we give a functionality-preserving transformation that ensures that no sequence of map operations will produce valid encodings (below the zero-testing level) whose product is zero. We prove security of our transformation in a generic model of composite-order multilinear maps. Our new transformation rules out "zeroizing" leaving no currently known attacks on the decision linear assumption, subgroup elimination assumption, and other related problems for the CLT multilinear map. Of course, in time, it is possible that different attacks on CLT will emerge. Update: Since the publication of this work, Coron, Lepoint, and Tibouchi have further strengthened the original attacks of Cheon et al. With the stregthened attack, the mitigations we describe in this work no longer suffice to secure the original CLT multilinear map. However, we have preserved the original exposition of our zero-immunizing transformation (Section 3), since this transformation is of independent interest. Notably, our transformation still rules out low-level zero encodings (Theorem 3.14), and thus provides robustness in the setting of deterministic encodings.

We extend the recent zeroizing attacks of Cheon et al. on multilinear maps to some settings where no encodings of zero below the maximal level are available. Some of the new attacks apply to the CLT scheme (resulting in total break) while others apply to the GGH scheme (resulting in a weak-DL attack).

Multilinear maps have become popular tools for designing cryptographic schemes since a first approximate realisation candidate was proposed by Garg, Gentry and Halevi (GGH). This construction was later improved by Langlois, Stehlé and Steinfeld who proposed GGHLite which offers smaller parameter sizes. In this work, we provide the first implementation of such approximate multilinear maps based on ideal lattices. Implementing GGH-like schemes naively would not allow instantiating it for non-trivial parameter sizes. We hence propose a strategy which reduces parameter sizes further and several technical improvements to allow for an efficient implementation. In particular, since finding a prime ideal when generating instances is an expensive operation, we show how we can drop this requirement. We also propose algorithms and implementations for sampling from discrete Gaussians, for inverting in some Cyclotomic number fields and for computing norms of ideals in some Cyclotomic number rings. Due to our improvements we were able to compute a multilinear jigsaw puzzle for &#954;appa=52 (resp. kappa=38) and lambda=52 (resp. lambda=80).

Security is a key component for information technologies and communication. Among the security threats, a very important one is certainly due to vulnerabilities of the integrated circuits that implement cryptographic algorithms. These electronic devices (such as smartcards) could fall into the hands of malicious people and then could be sub- ject to \physical attacks". These attacks are generally classified into two categories : fault and side-channel attacks. One of the main challenges to secure circuits against such attacks is to propose methods and tools to estimate as soundly as possible, the efficiency of protections. Numer- ous works attend to provide tools based on sound statistical techniques but, to our knowledge, only address side-channel attacks. In this article, a formal link between fault and side-channel attacks is presented. The common factor between them is what we called the 'physical' function which is an extension of the concept of 'leakage function' widely used in side-channel community. We think that our work could make possible the re-use (certainly modulo some adjustments) for fault attacks of the strong theoretical background developed for side-channel attacks. This work could also make easier the combination of side-channel and fault attacks and thus, certainly could facilitate the discovery of new attack paths. But more importantly, the notion of physical functions opens from now new challenges about estimating the protection of circuits.

This paper describes techniques that enable vehicles to collect local information (such as road conditions and traffic information) and report it via road-to-vehicle communications. To exclude malicious data, the collected information is signed by each vehicle. In this communications system, the location privacy of vehicles must be maintained. However, simultaneously linkable information (such as travel routes) is also important. That is, no such linkable information can be collected when full anonymity is guaranteed using cryptographic tools such as group signatures. Similarly, continuous linkability (via pseudonyms, for example) may also cause problem from the viewpoint of privacy. In this paper, we propose a road-to-vehicle communication system with relaxed anonymity via group signatures with time-token dependent linking (GS-TDL). Briefly, a vehicle is unlinkable unless it generates multiple signatures in the same time period. We provide our experimental results (using the RELIC library on a cheap and constrained computational power device, Raspberry Pi), and simulate our system by using a traffic simulator (PTV), a radio wave propagation analysis tool (RapLab), and a network simulator (QualNet). Though a similar functionality of time-token dependent linking was proposed by Wu, Domingo-Ferrer and Gonzälez-Nicoläs (IEEE T. Vehicular Technology 2010), we can show an attack against the scheme where anyone can forge a valid group signature without using a secret key. In contrast, our GS-TDL scheme is provably secure. In addition to the time-dependent linking property, our GS-TDL scheme supports verifier-local revocation (VLR), where a signer (vehicle) is not involved in the revocation procedure. It is particularly worth noting that no secret key or certificate of a signer (vehicle) must be updated whereas the security credential management system (SCMS) must update certificates frequently for vehicle privacy. Moreover, our technique maintains constant signing and verification costs by using the linkable part of signatures. This might be of independent interest.

We show how to build indistinguishability obfuscation (iO) for Turing Machines where the overhead is polynomial in the security parameter lambda, machine description |M| and input size |x| (with only a negligible correctness error). In particular, we avoid growing polynomially with the maximum space of a computation. Our construction is based on iO for circuits, one way functions and injective pseudo random generators. Our results are based on new ''selective enforcement'' techniques. Here we first create a primitive called positional accumulators that allows for a small commitment to a much larger storage. The commitment is unconditionally sound for a select piece of the storage. This primitive serves as an ''iO-friendly'' tool that allows us to make two different programs equivalent at different stages of a proof. The pieces of storage that are selected depend on what hybrid stage we are at in a proof. We first build up our enforcement ideas in a simpler context of ''message hiding encodings'' and work our way up to indistinguishability obfuscation.

In this paper, we revisit the recent small characteristic discrete logarithm algorithms. We show that a simplified description of the algorithm, together with some additional ideas, permits to obtain an improved complexity for the polynomial time precomputation that arises during the discrete logarithm computation. With our new improvements, this is reduced to O(q^6), where q is the cardinality of the basefield we are considering. This should be compared to the best currently documented complexity for this part, namely O(q^7). With our simplified setting, the complexity of the precomputation in the general case becomes similar to the complexity known for Kummer (or twisted Kummer) extensions.

In this paper we introduce a method for improving the implementation of GGH cryptosystem using the Chinese Remainder Theorem (CRT) and jordan normal form. In this paper we propose a method for improving the speed of Babai’s Round- Off CVP approximation algorithm [1] in lattices using the Chinese Remainder Theorem (CRT) then formulate a new lattice-based cryptosystem usng jordan normal form instead of hermite normal form would improve substantially the efficiency of the lattice based cryptosystem having Goldreich-Goldwaser-Halevi cryptosystem.

In this paper we continue the previous line of research on the analysis of the differential properties of the lightweight block ciphers Simon and Speck. We apply a recently proposed technique for automatic search for differential trails in ARX ciphers and improve the trails in Simon32 and Simon48 previously reported as best. We further extend the search technique for the case of differen- tials and improve the best previously reported differentials on Simon32, Simon48 and Simon64 by exploiting more effectively the strong differential effect of the cipher. We also present improved trails and differentials on Speck32, Speck48 and Speck64. Using these new results we improve the currently best known attacks on several versions of Simon and Speck. A second major contribution of the paper is a graph based algorithm (linear time) for the computation of the exact differential probability of the main building block of Simon: an AND operation preceded by two bitwise shift operations. This gives us a better insight into the differential property of the Simon round function and differential effect in the cipher. Our algorithm is general and works for any rotation constants. The presented techniques are generic and are therefore applicable to a broader class of ARX designs.

This paper shows, assuming standard heuristics regarding the number-field sieve, that a "batch NFS" circuit of area L^{1.181...+o(1)} factors L^{0.5+o(1)} separate B-bit RSA keys in time L^{1.022...+o(1)}. Here L=exp((log 2^B)^{1/3}(log log 2^B)^{2/3}). The circuit's area-time product (price-performance ratio) is just L^{1.704...+o(1)} per key. For comparison, the best area-time product known for a single key is L^{1.976...+o(1)}. This paper also introduces new "early-abort" heuristics implying that "early-abort ECM" improves the performance of batch NFS by a superpolynomial factor, specifically exp((c+o(1))(log 2^B)^{1/6}(log log 2^B)^{5/6}) where c is a positive constant.

Rank estimation algorithms allow analyzing the computational security of cryptographic keys for which adversaries have obtained partial information thanks to leakage or cryptanalysis. They are particularly useful in side-channel security evaluations, where the key is known by the evaluator but not reachable with exhaustive search. A first instance of such algorithms has been proposed at Eurocrypt 2013. In this paper, we propose a new tool for rank estimation that is conceptually simpler and much more efficient than this previous proposal. It allows approximating the key rank of (128-bit, 256-bit) symmetric keys with very tight bounds (i.e. with less than one bit of error), almost instantaneously and with limited memory. It also scales nicely to larger (e.g. asymmetric) key sizes, for which the previous algorithm was hardly applicable.

We experiment with the block cipher proposed by Hoang, Morris, and Rogaway, even though the cipher is insecure. The cipher is based on swap-or-not shuffle, and we call it the Shuffle Block Cipher. We show how the cipher can be translated into SMT-LIB v2 format, suitable for automated solving by SMT solvers. We compare performance of various SMT solvers on the encryption and known plaintext attack problems.

We propose a public-key authentication and encryption application that secures the messages between Tap-Card-Pay application, Tap-Card-Pay Systems Corporation, customers, and merchants allowing the customer to complete transactions without requiring the customer to input sensitive information. With authentication and encryption, the application transfers the credit card information from the smartphone's near field communication device onto the merchant webpage. Security weaknesses are also presented to show how to attack this design.

In a functional encryption (FE) scheme, the owner of the secret key can generate restricted decryption keys that allow users to learn specific functions of the encrypted messages and nothing else. In many known constructions of FE schemes, security is guaranteed only for messages that are fixed ahead of time (i.e., before the adversary even interacts with the system). This so-called selective security is too restrictive for many realistic applications. Achieving adaptive security (also called full security), where security is guaranteed even for messages that are adaptively chosen at any point in time, seems significantly more challenging. The handful of known adaptively-secure schemes are based on specifically tailored techniques that rely on strong assumptions (such as obfuscation or multilinear maps assumptions). We show that any sufficiently-expressive selectively-secure FE scheme can be transformed into an adaptively-secure one without introducing any additional assumptions. We present a black-box transformation, for both public-key and private-key schemes, making novel use of hybrid encryption, a classical technique that was originally introduced for improving the efficiency of encryption schemes. We adapt the hybrid encryption approach to the setting of functional encryption via a technique for embedding a "hidden execution thread'' in the decryption keys of the underlying scheme, which will only be activated within the proof of security of the resulting scheme. As an additional application of this technique, we show how to construct functional encryption schemes for arbitrary circuits starting from ones for shallow circuits (NC1 or even TC0).

In a homomorphic signature scheme, given the public key and a vector of signatures $\vec{\sigma}:= (\sigma_1, \ldots, \sigma_l)$ over $l$ messages $\vec{\mu}:= (\mu_1, \ldots, \mu_l)$, there exists an efficient algorithm to produce a signature $\sigma'$ for $\mu = f(\vec{\mu})$. Given the tuple $(\sigma', \mu, f)$, anyone can then publicly verify the validity of the signature $\sigma'$. Inspired by the recent (selectively secure) key-homomorphic functional encryption for circuits, recent works propose fully homomorphic signature schemes in the selective security model. However, in order to gain adaptive security, one must rely on generic complexity leveraging, which is not only very inefficient but also leads to reductions that are ``unfalsifiable''. In this paper, we construct the first \emph{adaptively secure} homomorphic signature scheme that can evaluate any circuit over signed data. For {\it poly-logarithmic depth} circuits, our scheme achieves adaptive security under the standard {\it Small Integer Solution} (SIS) assumption. For {\it polynomial depth} circuits, the security of our scheme relies on sub-exponential SIS --- but unlike complexity leveraging, the security loss in our reduction depends only on circuit depth and on neither message length nor dataset size.

At Asiacrypt 2014, Hanser and Slamanig presented a new cryptographic primitive called structure-preserving signature scheme on equivalence classes in the message space $(\G_1^*)^\ell $, where $\G_1$ is some additive cyclic group. Based on the signature scheme, they constructed an efficient multi-show attribute-based anonymous credential system that allows to encode an arbitrary number of attributes. The signature scheme was claimed to be existentially unforgeable under the adaptive chosen message attacks in the generic group model. However, for $\ell=2$, Fuchsbauer pointed out a valid existential forgery can be generated with overwhelming probability by using 4 adaptive chosen-message queries. Hence, the scheme is existentially forgeable under the adaptive chosen message attack at least when $\ell=2$. In this paper, we show that even for the general case $\ell\geq 2$, the scheme is \textit{existentially forgeable} under the \textit{non-adaptive} chosen message attack and \textit{universally forgeable} under the \textit{adaptive} chosen message attack. It is surprising that our attacks will succeed all the time and need fewer queries, which give a better description of the scheme's security.

There is a large body of work on using noisy communication channels for realizing different cryptographic tasks. In particular, it is known that secure message transmission can be achieved unconditionally using only {\em one-way} communication from the sender to the receiver. In contrast, known solutions for more general secure computation tasks inherently require interaction, even when the entire input originates from the sender. We initiate a general study of cryptographic protocols over noisy channels in a setting where only one party speaks. In this setting, we show that the landscape of what a channel is useful for is much richer. Concretely, we obtain the following results. [-] Relationships between channels. The binary erasure channel (BEC) and the binary symmetric channel (BSC), which are known to be securely reducible to each other in the interactive setting, turn out to be qualitatively different in the setting of one-way communication. In particular, a BEC cannot be implemented from a BSC, and while the erasure probability of a BEC can be manipulated in both directions, the crossover probability of a BSC can only be manipulated in one direction. [-] Zero-knowledge proofs and secure computation of deterministic functions. One-way communication over BEC or BSC is sufficient for securely realizing any deterministic (possibly reactive) functionality which takes its inputs from a sender and delivers its outputs to a receiver. This provides the first truly non-interactive solutions to the problem of zero-knowledge proofs. [-] Secure computation of randomized functions. One-way communication over BEC or BSC {\em cannot} be used for realizing general randomized functionalities which take input from a sender and deliver output to a receiver. On the other hand, one-way communication over other natural channels, such as bursty erasure channels, can be used to realize such functionalities. This type of protocols can be used for distributing certified cryptographic keys without revealing the keys to the certification authority.

We construct new leakage-resilient signature schemes. Our schemes remain unforgeable against an adversary leaking arbitrary (yet bounded) information on the entire state of the signer (sometimes known as *fully* leakage resilience), including the random coin tosses of the signing algorithm. The main feature of our constructions is that they offer a graceful degradation of security in situations where standard existential unforgeability is impossible. This property was recently put forward by Nielsen, Venturi, and Zottarel (PKC 2014) to deal with settings in which the secret key is much larger than the size of a signature. One remarkable such case is the so-called Bounded-Retrieval Model (BRM), where one intentionally inflates the size of the secret key while keeping constant the signature size and the computational complexity of the scheme. Our main constructions have leakage rate $1-o(1)$, and are proven secure in the standard model. We additionally give a construction in the BRM, relying on a random oracle. All of our schemes are described in terms of generic building blocks, but also admit efficient instantiations under fairly standard number-theoretic assumptions. Finally, we explain how to extend some of our schemes to the setting of noisy leakage, where the only restriction on the leakage functions is that the output does not decrease the min-entropy of the secret key by too much.

In many applications, encryption alone does not provide enough security. To enhance security, dedicated authenticated encryption (AE) mode are invented. Galios Counter Mode (GCM) and Counter with CBC-MAC mode (CCM) are the AE modes recommended by the National Institute of Standards and Technology. To support high data rates, AE modes are usually implemented in hardware. However, natural faults reduce its reliability and may undermine both its encryption and authentication capability. We present a low-cost concurrent error detection (CED) scheme for 7 AE architectures. The proposed technique explores idle cycles of the AE mode architectures. Experimental results shows that the performance overhead can be lower than 100% for all architectures depending on the workload. FPGA implementation results show that the hardware overhead in the 0.1-23.3% range and the power overhead is in the 0.2-23.2% range. ASIC implementation results show that the hardware overhead in the 0.1-22.8% range and the power overhead is in the 0.3-12.6% range. The underlying block cipher and hash module need not have CED built in. Thus, it allows system designers to integrate block cipher and hash function intellectual property from different vendors.

Bitcoin supports complex transactions where the recipient of a transaction can be programmatically determined. Using these transactions, multi-party computation protocols that aim to ensure fairness among participants have been designed. We present a Denial of Service attack against these protocols that results in a net loss for some or all of the honest parties involved, violating those fairness goals.

Non-interactive key exchange (NIKE) is a fundamental notion in Cryptography. This notion was introduced by Diffie and Hellman in 1976. They proposed the celebrated 2-party NIKE protocol and left open as a fascinating question, whether NIKE could be realized in the multiparty setting. NIKE has since then been an active area of research with an ultimate goal of obtaining best possible security in the multiparty setting. Although this has evaded researchers for many decades, advancements have been made through relaxations in multiple directions such as restricting to 3-parties, static/semi-static model (where the adversary needs to commit to the set of parties he wishes to be challenged upon ahead of time), random-oracle model, allowing initial setup, etc. In this work, we settle the longstanding open question: we present the first multiparty NIKE protocol that is adaptively secure with no setup and in the standard model. Our construction is based on indistinguishability obfuscation and obliviously-patchable puncturable pseudorandom functions, a new notion that we introduce. We employ novel techniques of using indistinguishability obfuscation, which are interesting in their own right and which we believe would find wider applications in other settings. One such technique pertains overcoming, the somewhat inherent, drawback of non-adaptivity of the puncturing technique introduced by Sahai and Waters [STOC'14]. Central to this technique is our new notion of obliviously-patchable puncturable pseudorandom functions. We present a concrete construction of these pseudorandom functions using multilinear maps and their recent approximations -- the leveled-graded encoding schemes. Note that pseudorandom functions amount to an interactive assumption. We shall establish via a meta-reduction technique that, in natural settings, an interactive assumption is necessary (even with setup).

We study robust secret sharing schemes in which between one third and one half of the players are corrupted. In this scenario, robust secret sharing is possible only with a share size larger than the secrets, and allowing a positive probability of reconstructing the wrong secret. In the standard model, it is known that at least $m+k$ bits per share are needed to robustly share a secret of bit-length $m$ with an error probability of $2^{-k}$; however, to the best of our knowledge, the efficient scheme that gets closest to this lower bound has share size $m+\widetilde O (n+k)$, where $n$ is the number of players in the scheme. We show that it is possible to obtain schemes with close to minimal share size in a model of local adversaries, i.e. in which corrupt players cannot communicate between receiving their respective honest shares and submitting corrupted shares to the reconstruction procedure, but may coordinate before the execution of the protocol and can also gather information afterwards. In this limited adversarial model, we prove a lower bound of roughly $m+k$ bits on the minimal share size, which is (somewhat surprisingly) similar to the lower bound in the standard model, where much stronger adversaries are allowed. We then present an efficient secret sharing scheme that essentially meets our lower bound, therefore improving upon the best known constructions in the standard model by removing a linear dependence on the number of players. For our construction, we introduce a novel procedure that compiles an error correcting code into a new randomized one, with the following two properties: a single local portion of a codeword leaks no information on the encoded message itself, and any set of portions of a codeword reconstructs the message with error probability exponentially low in the set size.

We show that there exist commitment, zero-knowledge and general function evaluation protocols with universally composable security, in a model where all parties and all protocols have access to a single, global, random oracle and no other trusted setup. This model provides significantly stronger composable security guarantees than the traditional random oracle model of Bellare and Rogaway [CCS’93] or even the common reference string model. Indeed, these latter models provide no security guarantees in the presence of arbitrary protocols that use the same random oracle (or reference string or hash function). Furthermore, our protocols are highly efficient. Specifically, in the interactive setting, our commitment and general computation protocols are much more efficient than the best known ones due to Lindell [Crypto’11,’13] which are secure in the common reference string model. In the non-interactive setting, our protocols are slightly less efficient than the best known ones presented by Afshar et al. [Eurocrypt ’14] but do away with the need to rely on a non-global (programmable) reference string.

By applying a quantum search algorithm to various heuristic and provable sieve algorithms from the literature, we obtain improved asymptotic quantum results for solving the shortest vector problem on lattices. With quantum computers we can provably find a shortest vector in time $2^{1.799n + o(n)}$, improving upon the classical time complexities of $2^{2.465n + o(n)}$ of Pujol and Stehlé and the $2^{2n + o(n)}$ of Micciancio and Voulgaris, while heuristically we expect to find a shortest vector in time $2^{0.286n + o(n)}$, improving upon the classical time complexity of $2^{0.337n + o(n)}$ of Laarhoven. These quantum complexities will be an important guide for the selection of parameters for post-quantum cryptosystems based on the hardness of the shortest vector problem.

The CRT-ACD problem is to find the primes p_1,...,p_n given polynomially many instances of CRT_{(p_1,...,p_n)}(r_1,...,r_n) for small integers r_1,...,r_n. The CRT-ACD problem is regarded as a hard problem, but its hardness is not proven yet. In this paper, we analyze the CRT-ACD problem when given one more input CRT_{(p_1,...,p_n)}(x_0/p_1,...,x_0/p_n) for x_0=\prod\limits_{i=1}^n p_i and propose a polynomial-time algorithm for this problem by using products of the instances and auxiliary input. This algorithm yields a polynomial-time cryptanalysis of the (approximate) multilinear map of Coron, Lepoint and Tibouchi (CLT): We show that by multiplying encodings of zero with zero-testing parameters properly in the CLT scheme, one can obtain a required input of our algorithm: products of CRT-ACD instances and auxiliary input. This leads to a total break: all the quantities that were supposed to be kept secret can be recovered in an efficient and public manner. We also introduce polynomial-time algorithms for the Subgroup Membership, Decision Linear, and Graded External Diffie-Hellman problems, which are used as the base problems of several cryptographic schemes constructed on multilinear maps.

We consider Primary-Secondary-Resolver Membership Proof Systems (PSR for short) and show different constructions of that primitive. A PSR system is a 3-party protocol, where we have a primary, which is a trusted party which commits to a set of members and their values, then generates a public and secret keys in order for secondaries (provers with knowledge of both keys) and resolvers (verifiers who only know the public key) to engage in interactive proof sessions regarding elements in the universe and their values. The motivation for such systems is for constructing a secure Domain Name System (DNSSEC) that does not reveal any unnecessary information to its clients. We require our systems to be complete, so honest executions will result in correct conclusions by the resolvers, sound, so malicious secondaries cannot cheat resolvers, and zero-knowledge, so resolvers will not learn additional information about elements they did not query explicitly. Providing proofs of membership is easy, as the primary can simply precompute signatures over all the members of the set. Providing proofs of non-membership, i.e. a denial-of-existence mechanism, is trickier and is the main issue in constructing PSR systems. We provide three different strategies to construct a denial of existence mechanism. The first uses a set of cryptographic keys for all elements of the universe which are not members, which we implement using hierarchical identity based encryption and a tree based signature scheme. The second construction uses cuckoo hashing with a stash, where in order to prove non-membership, a secondary must prove that a search for it will fail, i.e. that it is not in the tables or the stash of the cuckoo hashing scheme. The third uses a verifiable ``random looking'' function which the primary evaluates over the set of members, then signs the values lexicographically and secondaries then use those signatures to prove to resolvers that the value of the non-member was not signed by the primary. We implement this function using a weaker variant of verifiable random/unpredictable functions and pseudorandom functions with interactive zero knowledge proofs. For all three constructions we suggest fairly efficient implementations, of order comparable to other public-key operations such as signatures and encryption. The first approach offers perfect ZK and does not reveal the size of the set in question, the second can be implemented based on very solid cryptographic assumptions and uses the unique structure of cuckoo hashing, while the last technique has the potential to be highly efficient, if one could construct an efficient and secure VRF/VUF or if one is willing to live in the random oracle model.

Instant Messaging has gained popularity by users for both private and business communication as low-cost short message replacement on mobile devices. However, until recently, most mobile messaging apps did not protect confidentiality or integrity of the messages. Press releases about mass surveillance performed by intelligence services such as NSA and GCHQ motivated many people to use alternative messaging solutions to preserve the security and privacy of their communication on the Internet. Initially fueled by Facebook's acquisition of the hugely popular mobile messaging app WhatsApp, alternatives claiming to provide secure communication experienced a significant increase of new users. A messaging app that claims to provide secure instant messaging and has attracted a lot of attention is TextSecure. Besides numerous direct installations, its protocol is part of Android's most popular aftermarket firmware CyanogenMod. TextSecure's successor Signal continues to use the underlying protocol for text messaging. In this paper, we present the first complete description of TextSecure's complex cryptographic protocol, provide a security analysis of its three main components (key exchange, key derivation and authenticated encryption), and discuss the main security claims of TextSecure. Furthermore, we formally prove that - if key registration is assumed to be secure - TextSecure's push messaging can indeed achieve most of the claimed security goals.

We introduce Falcon codes, a class of authenticated error correcting codes that are based on LT codes and achieve the following properties, for the first time simultaneously: (1) with high probability, they can correct adversarial corruptions of an encoded message, and (2) they allow very efficient encoding and decoding times, even linear in the message length. Our design framework encompasses a large number of such coding schemes. Through judicious use of simple cryptographic tools at the core LT-coding level, Falcon codes lend themselves to secure extensions of any LT-based fountain code, in particular providing Raptor codes that achieve resilience to adversarial corruptions while maintaining their fast encoding/decoding times. Falcon codes also come in three variants, each offering different performance trade-offs. For instance, one variant works well with small input messages (100s of KB to 10s of MB), but two other variants are designed to handle much larger messages (several GB). We study Falcon codes in a novel adversarial model for rateless codes over computational (corrupting) channels and prove their security under standard assumptions. We analyze the performance of our new coding schemes through a prototype implementation of their Raptor-code extension and a thorough experimental study that demonstrates their high efficiency in practice. Applied to data transmission, Falcon codes can provably protect Raptor codes against targeted-erasure attacks, which were recently shown by Lopes and Neves [Oakland, 2014] to cause decoding failures of RaptorQ—the most advanced, standardized (IETF RFC6330) rateless code used in practice. Applied to data storage, Falcon codes can provide significant efficiency gainings as drop-in replacements of Reed-Solomon codes; in particular, a 35% speed-up over the state-of-the-art PoR scheme by Shi et al. [CCS, 2013].

The study of monotonicity and negation complexity for Boolean functions has been prevalent in complexity theory as well as in computational learning theory, but little attention has been given to it in the cryptographic context. Recently, Goldreich and Izsak (2012) have initiated a study of whether cryptographic primitives can be monotone, and showed that one-way functions can be monotone (assuming they exist), but a pseudorandom generator cannot. In this paper, we start by filling in the picture and proving that many other basic cryptographic primitives cannot be monotone. We then initiate a quantitative study of the power of negations, asking how many negations are required. We provide several lower bounds, some of them tight, for various cryptographic primitives and building blocks including one-way permutations, pseudorandom functions, small-bias generators, hard-core predicates, error-correcting codes, and randomness extractors. Among our results, we highlight the following. i) Unlike one-way functions, one-way permutations cannot be monotone. ii) We prove that pseudorandom functions require log n - O(1) negations (which is optimal up to the additive term). iii) Error-correcting codes with optimal distance parameters require log n - O(1) negations (again, optimal up to the additive term). iv) We prove a general result for monotone functions, showing a lower bound on the depth of any circuit with t negations on the bottom that computes a monotone function f in terms of the monotone circuit depth of f.

The HIVE hidden volume encryption system was proposed by Blass et al. at ACM-CCS 2014. Even though HIVE has a security proof, this paper demonstrates an attack on its implementation that breaks the main security property claimed for the system by its authors, namely plausible hiding against arbitrary-access adversaries. Our attack is possible because of the HIVE implementation's reliance on the RC4 stream cipher to fill unused blocks with pseudorandom data. While the attack can be easily eliminated by using a better pseudorandom generator, it serves as an example of why RC4 should be avoided in all new applications and a reminder that one has to be careful when instantiating primitives.

RC4+ stream cipher was proposed by Maitra et. al. at Indocrypt 2008. It was claimed by the authors that this new stream cipher is designed to overcome all the weaknesses reported on the alleged RC4 stream cipher. In the design specifications of RC4+, the authors make use of an 8-bit design parameter called pad which is fixed to the value 0xAA. The first Distinguishing Attack on RC4+ based on the bias of its first output byte was shown by Banik et. al. in Indocrypt 2013. In this paper, it was also mentioned that the distinguishing attack would still hold if the pad used in RC4+ is fixed to any even 8-bit constant other than 0xAA. Therefore, the question that arises is whether the design of RC4+ can be protected by fixing the pad parameter to some constant odd value. In this paper, we try to answer this very question. We show that the design is still vulnerable by mounting a distinguishing attack even if the pad is fixed to some constant 8-bit odd value. Surprisingly we find that if the value of the pad is made equal to 0x03, the design provides maximum resistance to distinguishing attacks. Lastly we return to the original cipher i.e. in which pad is set to 0xAA and unearth another bias in the second output byte of the cipher, thereby showing that practical implementations of this cipher should discard the use of the first two output bytes for encryption.

Side Channel Attacks (SCA) using power measurements are a known method of breaking cryptographic algorithms such as AES. Published research into attacks on AES frequently target only AES-128, and often target only the core Electronic Code-Book (ECB) algorithm, without discussing surrounding issues such as triggering, along with breaking the initialization vector. This paper demonstrates a complete attack on a secure bootloader, where the firmware files have been encrypted with AES-256-CBC. A classic Correlation Power Analysis (CPA) attack is performed on AES-256 to recover the complete 32-byte key, and a CPA attack is also used to attempt recovery of the initialization vector (IV).

In this paper we present a key recovery attack to the scale-invariant NTRU-based somewhat homomorphic encryption scheme proposed by Bos et al~\cite{NTRUbasedFHE} in 2013. The attack allows us to compute the private key for $t>2$ and when the private key is chosen with coefficients in $\{-1,0,1\}$. The efficiency of the attack is optimal since it requires just one decryption oracle query, showing that if we don't look for this kind of vulnerabilities in homomorphic encryption constructions we are likely to choose insecure parameters. The existence of a key recovery attack means that the scheme is not CCA1-secure. Indeed, almost every somewhat homomorphic construction proposed till now in the literature is vulnerable to this kind of attack, hence our result indicates that building CCA1-secure homomorphic schemes is not trivial. We also provide tables showing how the multiplicative depth is affected when the critical parameter $\Bkey$ is chosen in order to mitigatte the attack.

In a homomorphic signature scheme, a user Alice signs some large dataset $x$ using her secret signing key and uploads the signed data to an untrusted remote server. The server can then run some computation $y=f(x)$ over the signed data and homomorphically derive a short signature $\sigma_{f,y}$ certifying that $y$ is the correct output of the computation $f$. Anybody can verify the tuple $(f, y, \sigma_{f,y})$ using Alice's public verification key and become convinced of this fact without having to retrieve the entire underlying data. In this work, we construct the first (leveled) fully homomorphic signature schemes that can evaluate arbitrary circuits over signed data. Only the maximal depth $d$ of the circuits needs to be fixed a-priori at setup, and the size of the evaluated signature grows polynomially in $d$, but is otherwise independent of the circuit size or the data size. Our solution is based on the (sub-exponential) hardness of the small integer solution (SIS) problem in standard lattices and satisfies full (adaptive) security. In the standard model, we get a scheme with large public parameters whose size exceeds the total size of a data-set. In the random-oracle model, we get a scheme with short public parameters. In both cases, the schemes can be used to sign many different data-sets. The complexity of verifying a signature for a computation $f$ is at least as large as that of computing $f$, but can be amortized when verifying the same computation over many different data-sets. Furthermore, the signatures can be made context-hiding so as not to reveal anything about the data beyond the outcome of the computation. These results offer a significant improvement in capabilities and assumptions over the best prior homomorphic signature schemes, which were limited to evaluating polynomials of constant degree. As a building block of independent interest, we introduce a new notion called homomorphic trapdoor functions (HTDF) which conceptually unites homomorphic encryption and signatures. We construct HTDFs by relying on the techniques developed by Gentry et al. (CRYPTO '13) and Boneh et al. (EUROCRYPT '14) in the contexts of fully homomorphic and attribute-based encryptions.

Secure two-party computation cannot be fair in general against malicious adversaries, unless a trusted third party (TTP) or a gradual-release type super-constant round protocol is employed. Existing optimistic fair two-party computation protocols with constant rounds are either too costly to arbitrate (e.g., the TTP may need to re-do almost the whole computation), or require the use of electronic payments. Furthermore, most of the existing solutions were proven secure and fair via a partial simulation, which, we show, may lead to insecurity overall. We propose a new framework for fair and secure two-party computation that can be applied on top of any secure two party computation protocol based on Yao's garbled circuits and zero-knowledge proofs. We show that our fairness overhead is minimal, compared to all known existing work. Furthermore, our protocol is fair even in terms of the work performed by Alice and Bob. We also prove our protocol is fair and secure simultaneously, through one simulator, which guarantees that our fairness extensions do not leak any private information. Lastly, we ensure that the TTP never learns the inputs or outputs of the computation. Therefore, even if the TTP becomes malicious and causes unfairness by colluding with one party, the security of the underlying protocol is still preserved.

This paper explores the approximation of addition mod $2^n$ by addition mod $2^w$, where $1 \le w \le n$, in ARX functions that use large words (e.g., 32-bit words or 64-bit words). Three main areas are explored. First, \emph{pseudo-linear approximations} aim to approximate the bits of a $w$-bit window of the state after some rounds. Second, the methods used in these approximations are also used to construct truncated differentials. Third, branch number metrics for diffusion are examined for ARX functions with large words, and variants of the differential and linear branch number characteristics based on pseudo-linear methods are introduced. These variants are called \emph{effective differential branch number} and \emph{effective linear branch number}, respectively. Applications of these approximation, differential, and diffusion evaluation techniques are demonstrated on Threefish-256 and Threefish-512.

This article describes a novel and unique cryptosystem making use of a small set of private security parameters and public initialization values to produce a pseudorandom byte stream with large period. The byte stream can be used as a one-time stream cipher for securing communication between parties and for data archival. The cryptosystem makes use of geometry and number theory to generate a set of large prime integers and then from the primes a column-periodic matrix of bytes from which further calculation produces a pseudorandom, long period byte stream. The cryptosystem is extensible in that additional private user-supplied security parameters can supplement the private geometric security parameters while adding strength in the process. The article discusses the design and operation of the system and lists many potential questions of interest to the community of mathematical and cryptological researchers. Foremost among these questions are determining the most appropriate method for assessing the cryptographic strength of the algorithm and determining any weaknesses in the security of the algorithm.

This paper presents an algebraic attack against Trivium that breaks 625 rounds using only $4096$ bits of output in an overall time complexity of $2^{42.2}$ Trivium computations. While other attacks can do better in terms of rounds ($799$), this is a practical attack with a very low data usage (down from $2^{40}$ output bits) and low computation time (down from $2^{62}$). From another angle, our attack can be seen as a proof of concept: how far can algebraic attacks can be pushed when several known techniques are combined into one implementation? All attacks have been fully implemented and tested; our figures are therefore not the result of any potentially error-prone extrapolation, but results of practical experiments.

We show how to compute an existential forgery after querying 4 signatures on chosen messages for a signature scheme presented at Asiacrypt 2014.

A general method to protect a cryptographic algorithm against side-channel attacks consists in masking all intermediate variables with a random value. For cryptographic algorithms combining Boolean operations with arithmetic operations, one must then perform conversions between Boolean masking and arithmetic masking. At CHES 2001, Goubin described a very elegant algorithm for converting from Boolean masking to arithmetic masking, with only a constant number of operations. Goubin also described an algorithm for converting from arithmetic to Boolean masking, but with O(k) operations where k is the addition bit size. In this paper we describe an improved algorithm with time complexity O(log k) only. Our new algorithm is based on the Kogge-Stone carry look-ahead adder, which computes the carry signal in O(log k) instead of O(k) for the classical ripple carry adder. We also describe an algorithm for performing arithmetic addition modulo 2^k directly on Boolean shares, with the same complexity O(log k) instead of O(k). We prove the security of our new algorithms against first-order attacks.

We describe a new technique for evaluating polynomials over binary finite fields. This is useful in the context of anti-DPA countermeasures when an S-box is expressed as a polynomial over a binary finite field. For $n$-bit S-boxes our new technique has heuristic complexity ${\cal O}(2^{n/2}/\sqrt{n})$ instead of ${\cal O}(2^{n/2})$ proven complexity for the Parity-Split method. We also prove a lower bound of ${\Omega}(2^{n/2}/\sqrt{n})$ on the complexity of any method to evaluate $n$-bit S-boxes; this shows that our method is asymptotically optimal. Here, complexity refers to the number of non-linear multiplications required to evaluate the polynomial corresponding to an S-box. In practice we can evaluate any $8$-bit S-box in $10$ non-linear multiplications instead of $16$ in the Roy-Vivek paper from CHES 2013, and the DES S-boxes in $4$ non-linear multiplications instead of $7$. We also evaluate any $4$-bit S-box in $2$ non-linear multiplications instead of $3$. Hence our method achieves optimal complexity for the PRESENT S-box.

We design an efficient commitment scheme, and companion zero-knowledge proofs of knowledge, based on the learning with errors over rings (RLWE) problem. In particular, for rings in which almost all elements have inverses, we construct a perfectly binding commitment scheme whose hiding property relies on the RLWE assumption. Our scheme maps elements from the ring (or equivalently, n elements from F_q) to a small constant number of ring elements. We then construct Sigma-protocols for proving, in a zero-knowledge manner, knowledge of the message contained in a commitment. We are able to further extend our basic protocol to allow us to prove additive and multiplicative relations among committed values. Our protocols have a communication complexity of O(Mn\log q) and achieve a negligible knowledge error in one run. Here M is the constant from a rejection sampling technique that we employ, and can be set close to 1 by adjusting other parameters. Previously known Sigma-protocols for LWE-related languages either relied on ``smudging'' out the error (which necessitates working over large fields, resulting in poor efficiency) or only achieved a noticeable or even constant knowledge error (thus requiring many repetitions of the protocol).

Distance (upper)-bounding (DUB) allows a verifier to know whether a proving party is located within a certain distance bound. DUB protocols have many applications in secure authentication and location based services. We consider the dual problem of distance lower bounding (DLB), where the prover proves it is outside a distance bound to the verifier. We motivate this problem through a number of application scenarios, and model security against distance fraud (DF), Man-in-the-Middle (MiM), and collusion fraud (CF) attacks. We prove impossibility of security against these attacks without making physical assumptions. We propose approaches to the construction of secure protocols under reasonable assumptions, and give detailed design of our DLB protocol and prove its security using the above model. This is the first treatment of the DLB problem in the untrusted prover setting, with a number of applications and raising new research questions. We discuss our results and propose directions for future research.

Shamir's secret sharing scheme is an effective way to distribute secret to a group of shareholders. But this scheme is vulnerable to cheaters and attackers and thus how to protect the system from cheating and attacks is a big problem. In this paper, we proposed to use robust codes and algebraic manipulation detection (AMD) codes to protect the secret sharing module. Simulation and synthesis results show that the proposed architecture can improve the security level significantly even under strong cheating and attack models with some extra area and timing overheads.

We introduce Accountable Storage, a framework allowing a client with small local space to outsource n file blocks to an untrusted server and be able (at any point in time after outsourcing) to provably compute how many bits have been discarded by the server. Such protocols offer ``provable storage insurance" to a client: In case of a data loss, the client can be compensated with a dollar amount proportional to the damage that has occurred, forcing the server to be more ``accountable" for his behavior. The insurance can be captured in the SLA between the client and the server. Although applying existing techniques (e.g., proof-of-storage protocols) could address the problem, the related costs of such approaches are prohibitive. Instead, our protocols can provably compute the damage that has occurred through an efficient recovery process of the lost or corrupted file blocks, which requires only sublinear $O(\delta\log n)$ communication, computation and local space, where $\delta$ is the maximum number of corrupted file blocks that can be tolerated. Our technique is based on an extension of invertible Bloom filters, a data structure used to quickly compute the distance between two sets. Finally, we show how our protocol can be integrated with Bitcoin, to support automatic compensations proportional to the number of corrupted bits at the server. We also build and evaluate our protocols showing that they perform well in practice.

Template attacks and stochastic models are among the most powerful side-channel attacks. However, they can be computationally expensive when processing a large number of samples. Various compression techniques have been used very successfully to reduce the data dimensionality prior to applying template attacks, most notably Principal Component Analysis (PCA) and Fisher's Linear Discriminant Analysis (LDA). These make the attacks more efficient computationally and help the profiling phase to converge faster. We show how these ideas can also be applied to implement stochastic models more efficiently, and we also show that they can be applied and evaluated even for more than eight unknown data bits at once.

Clock glitch based Differential Fault Analysis (DFA) attack is a serious threat to cryptographic devices. Previous error detection schemes for cryptographic devices target improving the circuit reliability and cannot resist such DFA attacks. In this paper, we propose a novel faulty clock detection method which can be easily implemented either in FPGAs or integrated circuits to detect the glitches in system clock. Results show that the proposed method can detect glitches efficiently while needs very few system resource. It is also highly reconfigurable to tolerant clock inherent jitters, and will not involve complex design work for different processing technologies.

Clock glitch based Differential Fault Analysis (DFA) attack is a serious threat to cryptographic devices. Previous error detection schemes for cryptographic devices target improving the circuit reliability and cannot resist such DFA attacks. In this paper, we propose a novel faulty clock detection method which can be easily implemented either in FPGAs or integrated circuits to detect the glitches in system clock. Results show that the proposed method can detect glitches efficiently while needs very few system resource. It is also highly reconfigurable to tolerant clock inherent jitters, and will not involve complex design work for different processing technologies.

This paper studies the question of how to define, construct, and use obfuscators for probabilistic programs. Such obfuscators compile a possibly randomized program into a deterministic one, which achieves computationally indistinguishable behavior from the original program as long as it is run on each input at most once. For obfuscation, we propose a notion that extends indistinguishability obfuscation to probabilistic circuits: It should be hard to distinguish between the obfuscations of any two circuits whose output distributions at each input are computationally indistinguishable, possibly in presence of some auxiliary input. We call the resulting notion probabilistic indistinguishability obfuscation (pIO). We define several variants of pIO, using different approaches to formalizing the above security requirement, and study non-trivial relations among them. Moreover, we give a construction of one of our pIO variants from sub-exponentially hard indistinguishability obfuscation (for deterministic circuits) and one-way functions, and conjecture this construction to be a good candidate for other pIO variants. We then move on to show a number of applications of pIO: * We give a general and natural methodology to achieve leveled homomorphic encryption (LHE) from variants of semantically secure encryption schemes and of pIO. In particular, we propose instantiations from lossy and re-randomizable encryption schemes, assuming the two weakest notions of pIO. * We enhance the above constructions to obtain a full-fledged (i.e., non-leveled) FHE scheme under the same (or slightly stronger) assumptions. In particular, this constitutes the first construction of full-fledged FHE that does not rely on encryption with circular security. * Finally, we show that assuming sub-exponentially secure puncturable PRFs computable in NC1, sub-exponentially-secure indistinguishability obfuscation for (deterministic) NC1 circuits can be bootstrapped to obtain indistinguishability obfuscation for arbitrary (deterministic) poly-size circuits.

In this work we provide an overview of the candidates of the Password Hashing Competition (PHC) regarding to their functionality, e.g., client-independent update and server relief, their security, e.g., memory-hardness and side-channel resistance, and its general proper- ties, e.g., memory usage and flexibility of the underlying primitives. Furthermore, we formally introduce two kinds of attacks, called Garbage- Collector and Weak Garbage-Collector Attack, exploiting the memory management of a candidate. Note that we consider all candidates which are not yet withdrawn from the competition.

The security of many lattice-based cryptographic schemes relies on the hardness of finding short vectors in integral lattices. We propose a new variant of the parallel Gauss sieve algorithm to compute such short vectors. It combines favorable properties of previous approaches resulting in reduced run time and memory requirement per node. Our publicly available implementation outperforms all previous Gauss sieve approaches for dimensions 80, 88, and 96. When computing short vectors in ideal lattices, we show how to reduce the number of multiplications and comparisons by using a symbolic Fourier transform. We computed a short vector in a negacyclic ideal lattice of dimension 128 in less than nine days on 1024 cores, more than twice as fast as the recent record computation for the same lattice on the same computer hardware.

In August 2012, the Streebog hash function was selected as the new Russian cryptographic hash standard (GOST R 34.11-2012). In this paper, we investigate the new standard in the context of malicious hashing and present a practical collision for a malicious version of the full hash function. In particular, we apply the rebound attack to find three solutions for three different differential paths for four rounds, and using the freedom of the round constants we connect them to obtain a collision for the twelve rounds of the compression function. Additionally, and due to the simple processing of the counter, we bypass the barrier of the checksum finalization step and transfer the compression function collision to the hash function output with no additional cost. The presented attack has a practical complexity and is verified by an example. While the results of this paper may not have a direct impact on the security of the current Streebog hash function, it presents an urge for the designers to publish the origin of the used parameters and the rational behind their choices in order for this function to gain enough confidence and wide spread adoption by the security community.

Obfuscation, the task of compiling circuits or programs to make the internal computation unintelligible while preserving input/output functionality, has become an object of central focus in the cryptographic community. A work of Garg et al. [FOCS 2013] gave the first candidate obfuscator for general polynomial-size circuits, and led to several other works constructing candidate obfuscators. Each of these constructions is built upon another cryptographic primitive called a multilinear map, or alternatively a graded encoding scheme. Several of these candidates have been shown to achieve the strongest notion of security (virtual black-box, or VBB) against "purely algebraic" attacks in a model that we call the fully-restricted graded encoding model. In this model, each operation performed by an adversary is required to obey the algebraic restrictions of the graded encoding scheme. These restrictions essentially impose strong forms of homogeneity and multilinearity on the allowed polynomials. While important, the scope of the security proofs is limited by the stringency of these restrictions. We propose and analyze another variant of the Garg et al. obfuscator in a setting that imposes fewer restrictions on the adversary, which we call the arithmetic setting. This setting captures a broader class of attacks than considered in previous works. We also explore connections between notions of obfuscation security and longstanding questions in arithmetic circuit complexity. Our results include the following. (1) In the arithmetic setting where the adversary is limited to creating multilinear, but not necessarily homogenous polynomials, we obtain an unconditional proof of VBB security. This requires a substantially different analysis than previous security proofs. (2) In the arithmetic setting where the adversary can create polynomials of arbitrary degree, we show that a proof of VBB security for any currently available candidate obfuscator would imply VP != VNP. To complement this, we show that a weaker notion of security (indistinguishability obfuscation) can be achieved unconditionally in this setting, and that VBB security can be achieved under a complexity-theoretic assumption related to the Exponential Time Hypothesis.

Using the Pohlig--Hellman algorithm, den Boer reduced the discrete logarithm problem to the Diffie--Hellman problem in groups of an order whose prime factors were each one plus a smooth number. This report reviews some related general conjectural lower bounds on the Diffie-Hellman problem in elliptic curve groups that relax the smoothness condition into a more commonly true condition. This report focuses on some elliptic curve parameters defined over a prime field size of size 9+55(2^288), whose special form may provide some efficiency advantages over random fields of similar sizes. The curve has a point of Proth prime order 1+55(2^286), which helps to nearly optimize the den Boer reduction. This curve is constructed using the CM method. It has cofactor 4, trace 6, and fundamental discriminant -55. This report also tries to consolidate the variety of ways of deciding between elliptic curves (or other algorithms) given the efficiency and security of each.

This paper provides the first efficient, standard-model, fully-secure schemes for some related and challenging forms of public-key encryption (PKE), namely deterministic and hedged PKE. These forms of PKE defend against subversion of random number generators, an end given new urgency by recent revelations on the nature and extent of such subversion. We resolve the (recognized) technical challenges in reaching these goals via a new paradigm that combines UCEs (universal computational extractors) with LTDFs (lossy trapdoor functions). Crucially, we rely only on a weak form of UCE, namely security for statistically (rather than computationally) unpredictable sources. We then define and achieve unique-ciphertext PKE as a way to defend against implementation subversion via algorithm-substitution attacks.

A protection circuit can be added into cryptographic systems to detect both soft errors and injected faults required by Differential Fault Analysis (DFA) attacks. While such protection can improve the reliability of the target devices significantly and counteract DFA, they will also incur extra power consumption and other resource overhead. In this paper, we analyze the side-channel power leakage of AES protection methods against fault attacks and quantify the amount. We implement six different schemes and launch correlation power analysis attacks on them. The results show that the protection circuits have all increased the power leakage and therefore make the system more vulnerable to power analysis attacks. We further compare different protection schemes in terms of power consumption, area, fault coverage, and side-channel leakage. Our results demonstrate trade-offs among multiple design metrics, and suggest that reliability, security, and costs have to be all considered together in the design phase of cryptographic systems.

The signature scheme Bliss proposed by Ducas, Durmus, Lepoint and Lyubashevsky at Crypto’13, is currently the most compact and efficient lattice-based signature scheme that is provably secure under lattice assumptions. It does compare favourably with the standardized schemes RSA and ECDSA on both Software and Hardware. In this work, we introduce a new technique that improves the above scheme, offering an acceleration factor up to 2.8, depending on the set of parameters. Namely, we improve the unnatural geometric bound used in Bliss to a tighter and much more natural bound by using some extra degree of freedom: the ternary representations of binary challenges. Precisely, we efficiently choose a ternary representation that makes the result deterministically shorter than the expected length for a random challenges. Our modified scheme Bliss-b is rather close to the original scheme, and both versions are compatible. The patch has been implemented on the Open-Source Software implementation of Bliss, and will be released under similar license.

Gentry's bootstrapping technique is still the only known method of obtaining fully homomorphic encryption where the system's parameters do not depend on the complexity of the evaluated functions. Bootstrapping involves a *recryption* procedure where the scheme's decryption algorithm is evaluated homomorphically. Prior to this work there were very few implementations of recryption, and fewer still that can handle ``packed ciphertexts'' that encrypt vectors of elements. In the current work, we report on an implementation of recryption of fully-packed ciphertexts using the HElib library for somewhat-homomorphic encryption. This implementation required extending previous recryption algorithms from the literature, as well as many aspects of the HElib library. Our implementation supports bootstrapping of packed ciphertexts over many extension fields/rings. One example that we tested involves ciphertexts that encrypt vectors of 1024 elements from $GF(2^{16})$. In that setting, the recryption procedure takes under 3 minutes (at security-level $\approx 80$) on a single core, and allows a multiplicative depth-11 computation before the next recryption is needed. This report updates the results that we reported in Eurocrypt 2015 in several ways. Most importantly, it includes a much more robust method for deriving the parameters, ensuring that recryption errors only occur with negligible probability. Many aspects of this analysis are proven, and for the few well-specified heuristics that we made, we report on thorough experimentation to validate them. The procedure that we describe here is also significantly more efficient than in the previous version, incorporating many optimizations that were reported elsewhere (such as more efficient linear transformations) and adding a few new ones. Finally, our implementation now also incorporates Chen and Han's techniques from Eurocrypt 2018 for more efficient digit extraction (for some parameters), as well as for ``thin bootstrapping'' when the ciphertext is only sparsely packed.

Secure multi-party computation (MPC) allows multiple parties to compute a known function over inputs held by each party, without any party having to reveal its private input. Unfortunately, traditional MPC algorithms do not scale well to large numbers of parties. In this paper, we describe several recent MPC algorithms that are designed to handle large networks. All of these algorithms rely on recent techniques from the Byzantine agreement literature on forming and using quorums. Informally, a quorum is a small set of parties, most of which are trustworthy. We describe the advantages and disadvantages of these scalable algorithms, and we propose new ideas for improving practicality of current techniques. Finally, we conduct simulations to measure bandwidth cost for several current MPC algorithms.

The parallel algorithm and its implementation for performing a single-block collision attack on MD5 are described. The algorithm is implemented as MPI program based upon the source code of Dr Marc Stevens' collision search sequential program. In this paper we present a parallel single-block MD5 collision searching algorithm itself and details of its implementation. We also disclose a pair of new single-block messages colliding under MD5 that were found using our algorithm on the high-performance computing cluster.