International Association
for Cryptologic Research

The Information Security Group (ISG) at Royal Holloway University of London are looking for a full time permanent Professor/Reader (Chair/Distinguished or Full Professor) and three full time permanent lecturers (assistant professors).

The ISG is a full department within the university specialising in information/cyber security research and teaching and is one of the biggest specialist research and teaching groups in the UK. Details of the positions and more information about the ISG and Royal Holloway can be found at:

Professor/Reader: https://andersonquigley.com/digitalleaders/\"

Lecturers: https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0419-139

Additionally Royal Holloway is also looking for a head of Department for Computer Science and Head of Department in Media Arts (see https://andersonquigley.com/digitalleaders/ ).

Closing date for applications: 7 May 2019

Contact: Peter Komisarczuk

Head of Department/Director Information Security Group

Royal Holloway, University of London

Tel: +44 (0)1784443089

peter.komisarczuk (at) rhul.ac.uk

More information: https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0419-139

Event date: 10 June to 14 June 2019

Event date: 11 November to 13 November 2019
Submission deadline: 12 July 2019
Notification: 13 September 2019

Recently, the NIST launched a competition for lightweight cryptography and a large number of ciphers are expected to be studied and analyzed under this competition. Apart from the classical security, the candidates are desired to be analyzed against physical attacks. Differential Fault Analysis (DFA) is an invasive physical attack method for recovering key information from cipher implementations. Up to date, almost all the block ciphers have been shown to be vulnerable against DFA, while following similar attack patterns. However, so far researchers mostly focused on particular ciphers rather than cipher families, resulting in works that reuse the same idea for different ciphers.

In this article, we aim at bridging this gap, by providing a generic DFA attack method targeting Substitution-Permutation Network (SPN) based families of symmetric block ciphers. We provide an overview of the state-of-the-art of the fault attacks on SPNs, followed by generalized conditions that hold on all the ciphers of this design family. We show that for any SPN, as long as the fault mask injected before a non-linear layer in the last round follows a non-uniform distribution, the key search space can always be reduced. This shows that it is not possible to design an SPN-based cipher that is completely secure against DFA, without randomization. Furthermore, we propose a novel approach to find good fault masks that can leak the key with a small number of instances. We then developed a tool, called Joint Difference Distribution Table (JDDT) for pre-computing the solutions for the fault equations, which allows us to recover the last round key with a very small number of pairs of faulty and non-faulty ciphertexts. We evaluate our methodology on various block ciphers, including PRESENT-80, PRESENT-128, GIFT-64, GIFT-128, AES-128, LED-64, LED-128, Skinny-64-64, Skinny-128-128, PRIDE and PRINCE. The developed technique would allow automated DFA analysis of several candidates in the NIST competition.

Secure computation enables participating parties to jointly compute a function over their inputs while keeping them private. Secret sharing plays an important role for maintaining privacy during the computation. In most schemes, secret sharing over the same finite field is normally utilized throughout all the steps in the secure computation. A major drawback of this “uniform” approach is that one has to set the size of the field to be as large as the maximum of all the lower bounds derived from all the steps in the protocol. This easily leads to a requirement for using a large field which, in turn, makes the protocol inefficient. In this paper, we propose a “non-uniform” approach: dynamically changing the fields so that they are suitable for each step of computation. At the core of our approach is a surprisingly simple method to extend the underlying field of a secret sharing scheme, in a non-interactive manner, while maintaining the secret being shared. Using our approach, default computations can hence be done in a small field, which allows better efficiency, while one would extend to a larger field only at the necessary steps. As the main application of our technique, we show an improvement upon the recent actively secure protocol proposed by Chida et al. (Crypto’18). The improved protocol can handle a binary field, which enables XOR-free computation of a boolean circuit. Other applications include efficient (batch) equality check and consistency check protocols, which are useful for, e.g., password-based threshold authentication

We present a simple algorithm for Miller inversion for the reduced Tate pairing on supersingular elliptic curve of trace zero defined over the finite fields with q elements. Our algorithm runs with O((log q)^3) bit operations.

Oblivious RAM (ORAM) and private information retrieval (PIR) are classic cryptographic primitives used to hide the access pattern to data whose storage has been outsourced to an untrusted server. Unfortunately, both primitives require considerable overhead compared to plaintext access. For large-scale storage infrastructure with highly frequent access requests, the degradation in response time and the exorbitant increase in resource costs incurred by either ORAM or PIR prevent their usage. In an ideal scenario, a privacy-preserving storage protocols with small overhead would be implemented for these heavily trafficked storage systems to avoid negatively impacting either performance and/or costs. In this work, we study the problem of the best $\mathit{storage\ access\ privacy}$ that is achievable with only $\mathit{small\ overhead}$ over plaintext access.

To answer this question, we consider $\mathit{differential\ privacy\ access}$ which is a generalization of the $\mathit{oblivious\ access}$ security notion that are considered by ORAM and PIR. Quite surprisingly, we present strong evidence that constant overhead storage schemes may only be achieved with privacy budgets of $\epsilon = \Omega(\log n)$. We present asymptotically optimal constructions for differentially private variants of both ORAM and PIR with privacy budgets $\epsilon = \Theta(\log n)$ with only $O(1)$ overhead. In addition, we consider a more complex storage primitive called key-value storage in which data is indexed by keys from a large universe (as opposed to consecutive integers in ORAM and PIR). We present a differentially private key-value storage scheme with $\epsilon = \Theta(\log n)$ and $O(\log\log n)$ overhead. This construction uses a new oblivious, two-choice hashing scheme that may be of independent interest.

The WPA3 certification aims to secure Wi-Fi networks, and provides several advantages over its predecessor WPA2, such as protection against offline dictionary attacks and forward secrecy.

Unfortunately, we show that WPA3 is affected by several design flaws, and analyze these flaws both theoretically and practically. Most prominently, we show that WPA3's Simultaneous Authentication of Equals (SAE) handshake, commonly known as Dragonfly, is affected by password partitioning attacks. These attacks resemble dictionary attacks and allow an adversary to recover the password by abusing timing or cache-based side-channel leaks. Our side-channel attacks target the protocol's password encoding method. For instance, our cache-based attack exploits SAE's hash-to-curve algorithm.

The resulting attacks are efficient and low cost: brute-forcing all 8-character lowercase password requires less than 125$ in Amazon EC2 instances.

In light of ongoing standardization efforts on hash-to-curve, Password-Authenticated Key Exchanges (PAKEs), and Dragonfly as a TLS handshake, our findings are also of more general interest.

Finally, we discuss how to mitigate our attacks in a backwards-compatible manner, and explain how minor changes to the protocol could have prevented most of our attacks.

With Attribute-based Signatures (ABS) users can simultaneously sign messages and prove compliance of their attributes, issued by designated attribute authorities, with some verification policy. Neither signer's identity nor possessed attributes are leaked during the verification process, making ABS schemes a handy tool for applications requiring privacy-preserving authentication. Earlier ABS schemes lacked support for hierarchical delegation of attributes (across tiers of attribute authorities down to the signers), a distinct property that has made traditional PKIs more scalable and widely adoptable.

This changed recently with the introduction of Hierarchical ABS (HABS) schemes, where support for attribute delegation was proposed in combination with stronger privacy guarantees for the delegation paths (path anonymity) and new accountability mechanisms allowing a dedicated tracing authority to identify these paths (path traceability) and the signer, along with delegated attributes, if needed. Yet, current HABS construction is generic with inefficient delegation process resulting in sub-optimal signature lengths of order $O(k^{2}|\Psi|)$ where $\Psi$ is the policy size and $k$ the height of the hierarchy.

This paper proposes a direct HABS construction in bilinear groups that significantly improves on these bounds and satisfies the original security and privacy requirements. At the core of our HABS scheme is a new delegation process based on the length-reducing homomorphic trapdoor commitments to group elements for which we introduce a new delegation technique allowing step-wise commitments to additional elements without changing the length of the original commitment and its opening. While also being of independent interest, this technique results in shorter HABS keys and achieves the signature-length growth of $O(k|\Psi|)$ which is optimal due to the path-traceability requirement.

Cube attacks are an important type of key recovery attacks against stream ciphers. In particular, it is shown to be powerful against Trivium-like ciphers. Traditional cube attacks are experimental attacks which could only exploit cubes of size less than 40. At CRYPTO 2017, division property based cube attacks were proposed by Todo et al., and an advantage of introducing the division property to cube attacks is that large cube sizes which are beyond the experimental range could be explored, and so powerful theoretical attacks were mounted to many lightweight stream ciphers.

In this paper, we revisit the division property based cube attacks. There is an important assumption, called Weak Assumption, proposed in division property based cube attacks to support the effectiveness of key recovery. Todo et al. in CRYPTO 2017 said that the Weak Assumption was expected to hold for theoretically recovered superpolies of Trivium according to some experimental results on small cubes. In this paper, based on some new techniques to remove invalid division trails, some best key recovery results given at CRYPTO 2017 and CRYPTO 2018 on Trivium are proved to be distinguishers. First, we build a relationship between the bit-based division property and the algebraic degree evaluation on a set of active variables. Second, based on our algebraic point of view, we propose a new variant of division property which incorporates the distribution of active variables. Third, a new class of invalid division trails are characterized and new techniques based on MILP models to remove them are proposed. Hopefully this paper could give some new insights on accurately evaluating the propagation of the bit-based division property and also attract some attention on the validity of division property based cube attacks against stream ciphers.

It is known that information-theoretically secure computation can be done by using a deck of physical cards. In card-based protocols, shuffles, which covertly rearrange the order of cards according to a permutation chosen randomly, are the heaviest operations. Due to this, the number of shuffles in a protocol is desired to be small. However, as far as we know, there are no general-purpose protocols with a constant number of shuffles. In this paper, we construct a general-purpose protocol with a constant number of shuffles; surprisingly, just one (somewhat complicated) shuffle. This is achieved by introducing the garbled circuit methodology. Moreover, to make our shuffle simpler, we also develop a novel technique for aggregating several pile-scramble shuffles (which are efficiently implementable) into one pile-scramble shuffle. Consequently, we also construct a general-purpose protocol with two pile-scramble shuffles. Both techniques may lead to many other applications in this area.

We construct efficient, unconditional non-malleable codes that are secure against tampering functions computed by decision trees of depth $d = n^{1/4-o(1)}$. In particular, each bit of the tampered codeword is set arbitrarily after adaptively reading up to $d$ arbitrary locations within the original codeword. Prior to this work, no efficient unconditional non-malleable codes were known for decision trees beyond depth $O(\log^2 n)$.

Our result also yields efficient, unconditional non-malleable codes that are $\exp(-n^{\Omega(1)})$-secure against constant-depth circuits of $\exp(n^{\Omega(1)})$-size. Prior work of Chattopadhyay and Li (STOC 2017) and Ball et al. (FOCS 2018) only provide protection against $\exp(O(\log^2n))$-size circuits with $\exp(-O(\log^2n))$-security.

We achieve our result through simple non-malleable reductions of decision tree tampering to split-state tampering. As an intermediary, we give a simple and generic reduction of leakage-resilient split-state tampering to split-state tampering with improved parameters. Prior work of Aggarwal et al. (TCC 2015) only provides a reduction to split-state non-malleable codes with decoders that exhibit particular properties.

We introduce pRate, a novel reputation management scheme with strong security and privacy guarantees for the users and their reputation scores. The reputation scores are computed based on the (aggregated) number(s) of stars that users receive from their raters. pRate allows users to advertise privacy-friendly statements about their reputation when searching for potential transaction partners. Ratings can only be submitted by partners who have been initially authorised by the ratee and issued a rating token. The scheme is managed by a possibly untrusted reputation manager who can register users and assist ratees in updating their reputation scores, yet without learning these scores. In addition to ensuring the secrecy of the ratings, a distinctive feature of pRate over prior proposals, is that it hides the identities of raters and ratees from each other during the transaction and rating stages. The scheme is built from a number of efficient cryptographic primitives; its security is formally modeled and proven to hold under widely used assumptions on bilinear groups.

We prove an $\Omega(d \lg n/ (\lg\lg n)^2)$ lower bound on the dynamic cell-probe complexity of statistically $\mathit{oblivious}$ approximate-near-neighbor search ($\mathsf{ANN}$) over the $d$-dimensional Hamming cube. For the natural setting of $d = \Theta(\log n)$, our result implies an $\tilde{\Omega}(\lg^2 n)$ lower bound, which is a quadratic improvement over the highest (non-oblivious) cell-probe lower bound for $\mathsf{ANN}$. This is the first super-logarithmic $\mathit{unconditional}$ lower bound for $\mathsf{ANN}$ against general (non black-box) data structures. We also show that any oblivious $\mathit{static}$ data structure for decomposable search problems (like $\mathsf{ANN}$) can be obliviously dynamized with $O(\log n)$ overhead in update and query time, strengthening a classic result of Bentley and Saxe (Algorithmica, 1980).

We present a practical solution to design a secure logging system that provides confidentiality, integrity, completeness, and non-repudiation. To the best of our knowledge, our solution is the first practical implementation of a logging system that brings all the above security aspects together. Our proposed library makes use of a Dynamic Searchable Symmetric Encryption (DSSE) scheme to provide keyword search operations through encrypted logs without decryption. This helps us to keep each log confidential, preventing unauthorized users from decrypting the encrypted logs. Moreover, we deploy a set of new features such as log sequence generation and digital signatures on top of the DSSE scheme, which makes our library a complete proof of concept solution for a secure logging system, providing all the necessary security assurances. We also analyze the library's performance on a real setting, bootstrapping with 10,000 lines of logs. Based on our observation, the entire search operation for a keyword takes about 10 milliseconds. Although SELL v1.0 is developed purely in Python without any low level optimization, the benchmarks show promising timing results for all the operations.

Trick-Taking Games (TTGs) are card games in which each player plays one of his cards in turn according to a given rule. The player with the highest card then wins the trick, i.e., he gets all the cards that have been played during the round. For instance, Spades is a famous TTG proposed by online casinos, where each player must play a card that follows the leading suit when it is possible. Otherwise, he can play any of his cards. In such a game, a dishonest user can play a wrong card even if he has cards of the leading suit. Since his other cards are hidden, there is no way to detect the cheat. Hence, the other players realize the problem later, i.e., when the cheater plays a card that he is not supposed to have. In this case, the game is biased and is canceled. Our goal is to design protocols that prevent such a cheat for TTGs. We give a security model for secure Spades protocols, and we design a scheme called SecureSpades. This scheme is secure under the Decisional Diffie-Hellman assumption in the random oracle model. Our model and our scheme can be extended to several other TTGs, such as Belotte, Whist, Bridge, etc.

SNEIK is a permutation at the core of a submission to the NIST lightweight cryptography project. In this note, we exhibit an iterated probability 1 differential in this permutation. However, it is still unclear if this differential can be used to construct attacks against the permutation in a mode, e.g., against the hash function SNEIKHA.

We also suggest a simple fix: adding a 32-bit rotation in one tap prevents this issue.

We propose Lelantus, a new anonymous payment system which ensures both transaction confidentiality and anonymity with small proof sizes, short verification times and without requiring a trusted setup.

Inspired by the Zerocoin protocol, Lelantus extends the original Zerocoin functionality to support confidential transactions while also significantly improving on the protocol performance. Lelantus proof sizes are almost 17 times smaller compared to the original Zerocoin proof sizes. Moreover, we show how to support efficient aggregation of the transaction proofs, so that the proof verification, while asymptotically linear, is very efficient in practice.

Lelantus builds on the techniques of Confidential Transactions, Zerocoin and One-out-of-Many proofs and its efficiency is particularly well-suited for enabling private blockchain transactions with minimal trust required while employing well-studied cryptographic assumptions.

The IACR and PKC Steering Committee are pleased to announce a new Test-of-Time award for papers published PKC.

PKC is the International Conference on Practice and Theory in Public Key Cryptography, which was founded in 1998 and became an official IACR event in 2003. The new Test-of-Time award recognizes outstanding papers, published in PKC about 15 years ago, making a significant contribution to the theory and practice of public key cryptography, preferably with influence either on foundations or on the practice of the field.

The inaugural award will be given next week at PKC 2019 in Beijing, for papers published in the conference's initial years of early 2000s and late 1990s. In the first few years a number of papers from a few different initial years of PKC can be recognized. Thereafter, the award will typically recognize one year at a time with one or two papers.

The recipients of the 2019 award are:

• How to Enhance the Security of Public-Key Encryption at Minimum Cost by Eiichiro Fujisaki, and Tatsuaki Okamoto, PKC 1999.
• Selecting Cryptographic key Sizes by Arjen K. Lenstra and Eric R. Verheul, PKC 2000 (later Journal of Cryptography 2000).
• The Gap-Problems: A New Class of Problems for the Security of Cryptographic Schemes by Tatsuaki Okamoto, and David Pointcheval, PKC 2001.

Congratulations to these authors for their impactful work! More information about the award can be found at https://iacr.org/meetings/pkc/test_of_time_award/

Online Social Networks (OSNs) offer free storage and social networking services through which users can communicate personal information with one another. The personal information of the users collected by the OSN provider comes with privacy problems when being monetized for advertising purposes. To protect user privacy, existing studies propose utilizing data encryption that immediately prevents OSNs from monetizing users data, and hence leaves secure OSNs with no convincing commercial model. To address this problem, we propose Privado as a privacy-preserving group-based advertising mechanism to be integrated into secure OSNs to re-empower monetizing ability. Privado is run by N servers, each provided by an independent provider. User privacy is protected against an active malicious adversary controlling N -1 providers, all the advertisers, and a large fraction of the users. We base our design on the group-based advertising notion to protect user privacy, which is not possible in the personalized variant. Our design also delivers advertising transparency; the procedure of identifying target customers is operated solely by the OSN servers without getting users and advertisers involved. We carry out experiments to examine the advertising running time under a various number of servers and group sizes. We also argue about the optimum number of servers with respect to user privacy and advertising running time.