International Association
for Cryptologic Research

Differential fault analysis (DFA) is a very powerful attack vector on implementations of symmetric cryptography. Most countermeasures are applied at the implementation level. At ASIACRYPT 2021, Baksi et al. proposed a design strategy that aims to provide inherent cipher level resistance against DFA by using S-boxes with linear structures. They argue that in their instantiation, the block cipher DEFAULT, a DFA adversary can learn at most 64 of the 128 key bits, so the remaining brute-force complexity of $2^{64}$ is impractical.

In this paper, we show that a DFA adversary can combine information across rounds to recover the full key, invalidating their security claim. In particular, we observe that such ciphers exhibit large classes of equivalent keys that can be represented efficiently in normalized form using linear equations. We exploit this in combination with the specifics of DEFAULT's strong key schedule to recover the key using less than 100 faulty computation and negligible time complexity. Moreover, we show that even an idealized version of DEFAULT with independent round keys is vulnerable to our information-combining attacks based on normalized keys.

We present a new OT-based two-party multiplication protocol that is almost as efficient as Gilboa's semi-honest protocol (Crypto '99), but has a high-level of security against malicious adversaries without further compilation. The achieved security suffices for many applications, and, assuming DDH, can be cheaply compiled into full security.

Drone-based applications continue to garner a lot of attention due to their significant potential in both commercial and non-commercial use. Owing to this increasing popularity, researchers have begun to pay attention to the communication security requirements involved in deploying drone-based applications and services on a large scale, with particular emphasis on group communication. The majority of existing works in this field focus on the use of symmetric key cryptographic schemes or group key agreement schemes. However, in this paper, we propose a pairing-free certificateless group authenticated key distribution protocol for drone-based applications which takes into consideration drones with varying computational resources. The proposed scheme ensures key freshness, group key secrecy, forward secrecy, and backward secrecy while ensuring that the scheme is lightweight enough to be implemented on very resource-constrained drones or smart devices. We extensively prove the security of our scheme and demonstrate its real-world applicability by evaluating its performance on three different kinds of drone boards (UP Xtreme i7 board, SamL11-Xpro board, and a Zolertia Re-mote Revb board).

Attribute-based encryption with equality test ($\mathsf{ABEET}$) is an extension of the ordinary attribute-based encryption ($\mathsf{ABE}$), where trapdoors enable us to check whether two ciphertexts are encryptions of the same message. Thus far, several CCA-secure $\mathsf{ABEET}$ schemes have been proposed for monotone span programs satisfying selective security under $q$-type assumptions. In this paper, we propose a generic construction of CCA-secure $\mathsf{ABEET}$ from delegatable $\mathsf{ABE}$. Specifically, our construction is an attribute-based extension of Lee et al.'s generic construction of identity-based encryption with equality test from hierarchical identity-based encryption. Even as far as we know, there are various delegatable $\mathsf{ABE}$ schemes. Therefore, we obtain various $\mathsf{ABEET}$ schemes with new properties that have not been achieved before such as various predicates, adaptive security, standard assumptions, compact ciphertexts/secret keys, and lattice-based constructions.

In crowd-sourced data aggregation, participants share their data points with curators. However, the lack of privacy guarantees may discourage participation, which motivates the need for privacy-preserving aggregation protocols. Unfortunately, existing solutions do not support public auditing without revealing the participants' data. In real-world applications, there is a need for public verifiability (i.e., verifying the protocol correctness) while preserving the privacy of the participants' inputs since the participants do not always trust the data curator. Likewise, public distributed ledgers (e.g., blockchains) provide public auditing but may reveal sensitive information.

We present Masquerade, a novel protocol for computing private statistics, such as sum, average, and histograms without revealing anything about participants' data. We propose a tailored multiplicative commitment scheme to ensure the integrity of data aggregations and publish all the participants' commitments on a ledger to provide public verifiability. We complement our methodology with two zero-knowledge proof protocols that detect potentially untrusted participants who attempt to poison the aggregation results. Thus, Masquerade ensures the validity of shared data points before being aggregated, enabling a broad range of numerical and categorical. In our experiments, we evaluate our protocol's runtime and communication overhead using homomorphic ciphertexts and commitments for a variable number of participants.

In the third round of the NIST PQC standardization process, the only isogeny-based candidate, SIKE, suffers from slow performance when compared to other contenders. The large-degree isogeny computation performs a series of isogenous mappings between curves, to account for about 80% of SIKE’s latency. Here, we propose, implement, and evaluate a new method for computing large-degree isogenies of an odd power. Our new strategy for this computation avoids expensive recomputation of temporary isogeny results.We modified open-source libraries targeting x86, ARM64, and ARM32 platforms. Across each of these implementations, our new method achieves 10% and 5% speedups in SIKE’s key encapsulation and decapsulation operations, respectively. Additionally, these implementations use 3% less stack space at only a 48 byte increase in code size. Given the benefit and simplicity of our approach, we recommend this method for current and emerging SIKE implementations.

Group signatures are an important cryptographic primitive providing both anonymity and accountability to signatures. Accountable ring signatures combine features from both ring signatures and group signatures, and can be directly transformed to group signatures. While there exists extensive work on constructing group signatures from various post-quantum assumptions, there has not been any using isogeny-based assumptions. In this work, we propose the first construction of isogeny-based group signatures, which is a direct result of our isogeny-based accountable ring signature. This is also the first construction of accountable ring signatures based on post-quantum assumptions. Our schemes are based on the decisional CSIDH assumption (D-CSIDH) and are proven secure under the random oracle model (ROM).

With the fast-growing technology and emerging innovations in the research arena, privacy and preservation of data predominantly in the medical field are highly essential. At the same time, there is a need for minimized storage of voluminous data in the medical repository. The inspiration for this research work to formulate the hybrid methodologies using improved Steganography, wavelet transform, and lossless compression for privacy and preservation of medical big data images and patient information in the medical big data repositories. The novelty of the work focuses on the preservation of patient’s information using enhanced security and optimized big data image storage, which helps the pharmacology professionals to store double the amount of information in the same storage space of the medical big data repository. The secure storage, fast retrieval of image, and minimum computation are the basic ideology of the work. The research work adopts a fast and optimized approach of the Knight Tour algorithm for embedding the patient’s data in their medical image and a Discrete Wavelet Transform (DWT) for the safeguarding of the cover image. Furthermore, a lossless wavelet packet compression is applied to minimize the storage size and to maximize storage efficiency. The outcome of the work achieves a higher level of data security without loss in the quality of the image. In addition, the preservation of the reduced size image will be easy to accommodate and can store bountiful images in the repository. A proposed hybrid method of compression in order to get high resolution on spatial and frequency domains will provide an edge.

We construct an efficient dynamic group signature (or more generally an accountable ring signature) from isogeny and lattice assumptions. Our group signature is based on a simple generic construction that can be instantiated by cryptographically hard group actions such as the CSIDH group action or an MLWE-based group action. The signature is of size $O(\log N)$, where $N$ is the number of users in the group. Our idea builds on the recent efficient OR-proof by Beullens, Katsumata, and Pintore (Asiacrypt'20), where we efficiently add a proof of valid ciphertext to their OR-proof and further show that the resulting non-interactive zero-knowledge proof system is online extractable.

Our group signatures satisfy more ideal security properties compared to previously known constructions, while simultaneously having an attractive signature size. The signature size of our isogeny-based construction is an order of magnitude smaller than all previously known post-quantum group signatures (e.g., 6.6 KB for 64 members). In comparison, our lattice-based construction has a larger signature size (e.g., either 126 KB or 89 KB for 64 members depending on the satisfied security property). However, since the $O(\cdot)$-notation hides a very small constant factor, it remains small even for very large group sizes, say $2^{20}$.

Both ring signatures and group signatures are useful privacy tools, allowing signers to hide their identities within a set of other public keys, while allowing their signatures to be validated with respect to the entire set. Group signature schemes and revocable ring signature schemes both provide the additional ability for certain authorized members to revoke the anonymity on a signature and reveal the true signer—allowing management of abuse in the scheme. This work consists of two parts. Firstly, we introduce a stronger security notion—collusion resistance—for revocable ring signatures and show how to derive a group signature scheme from it, which provides a new approach to obtaining group signatures. This improves on the existing weak security model (e.g. with selfless anonymity) which fails to guarantee anonymity of members whose keys are exposed. Our stronger notion requires that the scheme remains secure against full key exposure in the anonymity game, and allows collusion among arbitrary members in the revocability game. Secondly (and more concretely), we construct a practical collusion-resistant revocable ring signature scheme based on hard homogenous spaces (HHS), and thus obtain a group signature scheme based on isogenies. To the best of our knowledge, the schemes given in this work are the first efficient post-quantum (collusion-resistant) revocable ring signature scheme, and the first efficient isogeny-based group signature scheme in the literature.

In the context of the NIST post-quantum cryptography project, there have been claims that the Gaborit&Aguilar-Melchor patent could apply to the Kyber and Saber encryption schemes. In this short note, we argue that these claims are in contradiction with the potential validity of the patent.

Thermal jitter (phase noise) from a free-running ring oscillator is a common, easily implementable physical randomness source in True Random Number Generators (TRNGs). We show how to evaluate entropy, autocorrelation, and bit pattern distributions of ring oscillator noise sources, even with low jitter levels or some bias. Entropy justification is required in NIST 800-90B and AIS-31 testing and for applications such as the RISC-V entropy source extension. Our numerical evaluation algorithms outperform Monte Carlo simulations in speed and accuracy. We also propose a new lower bound estimation formula for the entropy of ring oscillator sources which applies more generally than previous ones.

We focus on the multiple persistent faults analysis in this paper to fill existing gaps in its application in a variety of scenarios. Our major contributions are twofold. First, we propose a novel technique to apply persistent fault apply in the multiple persistent faults setting that decreases the number of survived keys and the required data. We demonstrate that by utilizing 1509 and 1448 ciphertexts, the number of survived keys after performing persistent fault analysis on AES in the presence of eight and sixteen faults can be reduced to only $2^9$ candidates, whereas the best known attacks need 2008 and 1643 ciphertexts, respectively, with a time complexity of $2^{50}$. Second, we develop generalized frameworks for retrieving the key in the ciphertext-only model. Our methods for both performing persistent fault attacks and key-recovery processes are highly flexible and provide a general trade-off between the number of required ciphertexts and the time complexity. To break AES with 16 persistent faults in the Sbox, our experiments show that the number of required ciphertexts can be decreased to 477 while the attack is still practical with respect to the time complexity. To confirm the accuracy of our methods, we performed several simulations as well as experimental validations on the ARM Cortex-M4 microcontroller with electromagnetic fault injection on AES and LED, which are two well-known block ciphers to validate the types of faults and the distribution of the number of faults in practice.

Syncing the latest state of a blockchain can be a resource-intensive task, driving (especially mobile) end users towards centralized services offering instant access. To expand full decentralized access to anyone with a mobile phone, we introduce a consensus-agnostic compiler for constructing {\em ultralight clients}, providing secure and highly efficient blockchain syncing via a sequence of SNARK-based state transition proofs, and prove its security formally. Instantiating this, we present Plumo, an ultralight client for the Celo blockchain capable of syncing the latest network state summary in just a few seconds even on a low-end mobile phone. In Plumo, each transition proof covers four months of blockchain history and can be produced for just $25 USD of compute. Plumo achieves this level of efficiency thanks to two new SNARK-friendly constructions, which may also be of independent interest: a new BLS-based offline aggregate multisignature scheme in which signers do not have to know the members of their multisignature group in advance, and a new composite algebraic-symmetric cryptographic hash function.

Recently, motivated by its increased use in real-world applications, there has been a growing interest on the reduction of trust in the generation of the common reference string (CRS) for zero-knowledge (ZK) proofs. This line of research was initiated by the introduction of subversion non-interactive ZK (NIZK) proofs by Bellare et al. (ASIACRYPT'16). Here, the zero-knowledge property needs to hold even in case of a malicious generation of the CRS. Groth et al. (CRYPTO'18) then introduced the notion of updatable zk-SNARKS, later adopted by Lipmaa (SCN'20) to updatable quasi-adaptive NIZK (QA-NIZK) proofs. In contrast to the subversion setting, in the updatable setting one can achieve stronger soundness guarantees at the cost of reintroducing some trust, resulting in a model in between the fully trusted CRS generation and the subversion setting. It is a promising concept, but all previous updatable constructions are ad-hoc and tailored to particular instances of proof systems. Consequently, it is an interesting question whether it is possible to construct updatable ZK primitives in a more modular way from simpler building blocks.

In this work we revisit the notion of trapdoor smooth projective hash functions (TSPHFs) in the light of an updatable CRS. TSPHFs have been introduced by Benhamouda et al. (CRYPTO'13) and can be seen as a special type of a 2-round ZK proof system. In doing so, we first present a framework called lighter TSPHFs (L-TSPHFs). Building upon it, we introduce updatable L-TSPHFs as well as instantiations in bilinear groups. We then show how one can generically construct updatable quasi-adaptive zero-knowledge arguments from updatable L-TSPHFs. Our instantiations are generic and more efficient than existing ones. Finally, we discuss applications of (updatable) L-TSPHFs to efficient (updatable) 2-round ZK arguments as well as updatable password-authenticated key-exchange (uPAKE).

At CANS’20, El Housni and Guillevic introduced a new 2-chain of pairing-friendly elliptic curves for recursive zero-knowledge Succinct Non-interactive ARguments of Knowledge (zk-SNARKs) made of the former BLS12-377 curve (a Barreto–Lynn–Scott curve over a 377- bit prime field) and the new BW6-761 curve (a Brezing–Weng curve of embedding degree 6 over a 761-bit prime field). First we generalise the curve construction, the pairing formulas (e : G1 × G2 → GT ) and the group operations to any BW6 curve defined on top of any BLS12 curve, forming a family of 2-chain pairing-friendly curves. Second, we investigate other possible 2-chain families made on top of the BLS12 and BLS24 curves. We compare BW6 to Cocks–Pinch curves of higher embedding degrees 8 and 12 (CP8, CP12) at the 128-bit security level. We explicit an optimal ate and optimal Tate pairing on our new CP curves. We show that both for BLS12 and BLS24, the BW6 construction always gives the fastest pairing and curve arithmetic compared to Cocks-Pinch curves. Finally, we suggest a short list of curves suitable for Groth16 and KZG-based universal SNARKs and present an optimized implementation of these curves. Based on Groth16 and PlonK (a KZG- based SNARK) implementations, we obtain that the BLS12-377/BW6-761 pair is optimized for the former while the BLS24-315/BW6-672 pair is optimized for the latter.

The Learning with Errors (LWE) problem consists of distinguishing linear equations with noise from uniformly sampled values. LWE enjoys a hardness reduction from worst-case lattice problems, which are believed to be hard for classical and quantum computers. Besides, LWE allows for the construction of a large variety of cryptographic schemes, including fully-homomorphic encryption and attribute-based cryptosystems. Unfortunately, LWE requires large key sizes and computation times. To improve efficiency, Ring-LWE replaces linear equations with noisy ring products. Nowadays, Ring-LWE and its variants are frequently used in the construction of post-quantum secure cryptosystems.

In this survey, we give an overview of the hardness results for LWE and Ring-LWE, aiming to connect both problems and to provide good intuition to the reader. We present a proof of the strongest hardness result for Ring-LWE available the literature, which is a reduction from ideal lattice problems to its decision form. We start by introducing both Ring-LWE and LWE and their mathematical foundations, focusing on lattices and algebraic number theory. Then, we sketch the classical hardness proof for LWE and extend the proof techniques to the ring case. We also introduce informal discussions on parameter choices, weaknesses, related work, and open problems.

In this paper, we study the round complexity of concurrently secure computation protocols in the plain model, without random oracles or assuming the presence of a trusted setup. In the plain model, it is well known that concurrently secure two-party computation with polynomial simulation is impossible to achieve in two rounds. For this reason, we focus on the well-studied notion of security with super-polynomial simulation (SPS). Our main result is the first construction of two-round SPS two-party computation for general functionalities in the plain model. Prior to our work, we only knew three-round constructions [Badrinarayanan et al., TCC 2017] and two-round protocols were not known from any computational assumption. As immediate applications, we establish the feasibility result for a series of cryptographic primitives of interest, such as: Two-round password authentication key exchange (PAKE) in the plain model, two-round concurrent blind signature in the plain model, and two round concurrent computation for quantum circuits (2PQC).

Shannon mutual information is an effective method to analyze the information interaction in a point-to-point communication system. However, it cannot solve the problem of channel capacity in graph structure communication system. This problem make it impossible to use traditional mutual information (TMI) to detect the real information and to measure the information embedded in the graph structure. Therefore, measuring the interaction of graph structure and the degree of privacy leakage has become an emerging and challenging issue to be considered. To solve this issue, we propose a novel structural mutual information (SMI) theory based on structure entropy model and the Shannon mutual information theorem, following by the algorithms for solving SMI. The SMI is used to detect the real network structure and measure the degree of private data leakage in the graph structure. Our work expands the channel capacity of Shannon’s second theorem in graph structure, discusses the correlation properties between SMI and TMI, and concludes that SMI satisfies some basic properties, including symmetry, non-negativity, and so on. Finally, theoretical analysis and example demonstration show that the SMI theory is more effective than the traditional privacy measurement methods to measure the information amount embedded in the graph structure and the overall degree of privacy leakage. It provides feasible theoretical support for the privacy protection technology in the graph structure.

Algorand Foundation invites proposals for the Algorand Centres of Excellence (ACE) programme to build and run multidisciplinary centers which advance research and support applied education in the blockchain and cryptocurrency space.

Proposals for three to five years are accepted from higher education institutions and non-profit research organizations anywhere in the world. The ACE programme is being launched with a budget of 100,000,000 ALGO for the next ten years.

See the ACE website for further details.