International Association
for Cryptologic Research

We initiate the study of multi-party functional encryption (MPFE) which unifies and abstracts out various notions of functional encryption which support distributed ciphertexts or secret keys, such as multi-input FE, multi-client FE, decentralized multi-client FE, multi-authority ABE, multi-authority FE and such others. We provide a unifying framework to capture existing multi-party FE primitives, define new, natural primitives that emerge from the framework, provide a feasibility result assuming general multi-input functional encryption (MIFE), and also provide constructions for restricted function families from standard assumptions. In more detail, we provide the following new constructions:

1. Two Input Quadratic Functional Encryption: We provide the first two input functional encryption scheme for quadratic functions from the SXDH assumption on bilinear groups. To the best of our knowledge, this is the first construction of MIFE from standard assumptions that goes beyond the inner product functionality.

2. Decentralized Inner Product Functional Encryption: We provide the first decentralized version of an inner product functional encryption scheme, generalizing the recent work of Michalevsky and Joye (ESORICS'18). Our construction supports access policies C that are representable as inner product predicates, and is secure based on the k-linear assumption, in the random oracle model.

3. Distributed Ciphertext-Policy Attribute Based Encryption. We provide a decentralized variant of the recent ciphertext-policy attribute based encryption scheme, constructed by Agrawal and Yamada (Eurocrypt'20). Our construction supports NC1 access policies, and is secure based on Learning With Errors and relies on the generic bilinear group model as well as the random oracle model.

Our new abstraction predicts meaningful new primitives for multi-party functional encryption which we describe but do not instantiate — these may be constructed in future work.

Modern public-key cryptography is a crucial part of our contemporary life where a secure communication channel with another party is needed. With the advance of more powerful computing architectures – especially Graphics Processing Units (GPUs) – traditional approaches like RSA and Diffie-Hellman schemes are more and more in danger of being broken.

We present a highly optimized implementation of Lenstra’s ECM algorithm customized for GPUs. Our implementation uses state-of-the-art elliptic curve arithmetic and optimized integer arithmetic while providing the possibility of arbitrarily scaling ECM’s parameters allowing an application even for larger discrete logarithm problems. Furthermore, the proposed software is not limited to any specific GPU generation and is to the best of our knowledge the first implementation supporting multiple device computation. To this end, for a bound of B1=8,192 and a modulus size of 192 bit, we achieve a throughput of 214 thousand ECM trials per second on a modern RTX 2080 Ti GPU considering only the first stage of ECM. To solve the Discrete Logarithm Problem for larger bit sizes, our software can easily support larger parameter sets such that a throughput of 2,781 ECM trials per second is achieved using B1=50,000, B2=5,000,000, and a modulus size of 448 bit.

For safe resource management - an effective mechanism/system is necessary that identifies a person and his rights to these resources, using an appropriate key, and its degree of security determines not only the property, but sometimes even the life of its owner. For several decades, it has been based on the security of (bio)material keys, which only guarantee their own authenticity, but not their owner, due to weak of static password protection. The development of an effective SecHCI (Secure Human-Computer Identification) system is becoming an increasingly urgent problem in modern civilization. In the article will be presented an innovative challenge-response protocol, that requires only 1 image to be remember by an user, showing the structure of a virtual microchip, and a mental simulation of the operation of its components, thanks to which reverse engineering of the virtual structure is as difficult as such operation on a physical microchip, and their diversity is limited only by the fantasy of the user, inspired by the analogous features of the physical elements. It will be shown how the i-Chip generates the one-time password (OTP) or whole digital signature, also offline on paper documents, or acts as a virtual key for an electronic lock opened with OTP.

The advances of the Internet of Things (IoT) have had a fundamental impact and influence in sharping our rich living experiences. However, since IoT devices are usually resource-constrained, lightweight block ciphers have played a major role in serving as a building block for secure IoT protocols. In CHES 2015, SIMECK, a family of block ciphers, was designed for resource-constrained IoT devices. Since its publication, there have been many analyses on its security. In this paper, under the one bit-flip model, we propose a new efficient fault analysis attack on SIMECK ciphers. Compared to those previously reported attacks, our attack can recover the full master key by injecting faults into only a single round of all SIMECK family members. This property is crucial, as it is infeasible for an attacker to inject faults into different rounds of a SIMECK implementation on IoT devices in the real world. Specifically, our attack is characterized by exercising a deep analysis of differential trail between the correct and faulty immediate ciphertexts. Extensive simulation evaluations are conducted, and the results demonstrate the effectiveness and correctness of our proposed attack.

In this paper, we analyze permissionless blockchain protocols, whose distributed consensus algorithm lies on a Proof-of-Work composed of $k \geq 1$ sequential hash-puzzles. We put our focus in a restricted scenario, widely used in the blockchain literature, in which the number of miners, their hash rates, and the difficulty values of the hash-puzzles are constant throughout time. Our main contribution is a closed-form expression for the mining probability of a miner, that is, the probability the miner completes the Proof-of-Work of the next block to be added to the blockchain before every other miner does. Our theoretical results can be applied to existing Proof-of-Work based blockchain protocols, such as Bitcoin or Ethereum. We also point out some security issues implied by our findings, which makes not trivial at all the design of multi-stage (i.e. $k \geq 2$) Proof-of-Work blockchain protocols.

Multi-signatures enable a group of signers to produce a single signature on a given message. Recently, Drijvers et al. (S&P'19) showed that all thus far proposed two-round multi-signature schemes in the DL setting (without pairings) are insecure under concurrent sessions, i.e., if a single signer participates in multiple signing sessions concurrently. While Drijvers et al. improve the situation by constructing a secure two-round scheme, saving a round comes with the price of having less compact signatures. In particular, the signatures produced by their scheme are more than twice as large as Schnorr signatures, which arguably are the most natural and compact among all practical DL signatures and are therefore becoming popular in cryptographic applications (e.g., support for Schnorr signature verification has been proposed to be included in Bitcoin). If one needs a multi-signature scheme that can be used as a drop-in replacement for Schnorr signatures, then one is either forced to resort to a three-round scheme such as MuSig (Maxwell et al., DCC 2019) or MSDL-pop (Boneh, Drijvers, and Neven, ASIACRYPT 2018), or to accept that signing sessions are only secure when run sequentially, which may be hard to enforce in practice, e.g., when the same signing key is used by multiple devices.

In this work, we propose MuSig2, a novel and simple two-round multi-signature scheme variant of the MuSig scheme. Our scheme is the first multi-signature scheme that simultaneously i) is secure under concurrent signing sessions, ii) supports key aggregation, iii) outputs ordinary Schnorr signatures, iv) needs only two communication rounds, and v) has similar signer complexity as regular Schnorr signatures. Furthermore, our scheme is the first multi-signature scheme in the DL setting that supports preprocessing of all but one rounds, effectively enabling a non-interactive signing process, without forgoing security under concurrent sessions. The combination of all these features makes MuSig2 highly practical. We prove the security of MuSig2 under the one-more discrete logarithm (OMDL) assumption in the random oracle model, and the security of a more efficient variant in the combination of the random oracle and algebraic group models.

This work provides a systematic investigation of the use of approximate enumeration oracles in BKZ, building on recent technical progress on speeding-up lattice enumeration: relaxing (the search radius of) enumeration and extended preprocessing which preprocesses in a larger rank than the enumeration rank. First, we heuristically justify that relaxing enumeration with certain extreme pruning asymptotically achieves an exponential speed-up for reaching the same root Hermite factor (RHF). Second, we perform simulations/experiments to validate this and the performance for relaxed enumeration with numerically optimised pruning for both regular and extended preprocessing. Upgrading BKZ with such approximate enumeration oracles gives rise to our main result, namely a practical and faster (compared to previous work) polynomial-space lattice reduction algorithm for reaching the same RHF in practical and cryptographic parameter ranges. We assess its concrete time/quality performance with extensive simulations and experiments. As a consequence, we update the extrapolation of the crossover rank between a square-root cost estimate for quantum enumeration using our algorithm and the Core-SVP cost estimate for quantum sieving to 547.

With the advancement of the trusted execution environment (TEE) technologies, hardware-supported secure computing becomes increasingly popular due to its efficiency. During the protocol execution, typically, the players need to contact a third-party server for remote attestation, ensuring the validity of the involved trusted hardware component, such as Intel SGX, as well as the integrity of the computation result. When the hardware manufacturer is not fully trusted, sensitive information may be leaked to the third-party server through backdoors, side-channels, steganography, and kleptography, etc. In this work, we introduce a new security notion called semi-trusted hardware model, where the adversary is allowed to passively and/or maliciously corrupt the hardware component. Therefore, she can learn the input of the hardware component and might also tamper the output. We show that two-party computation can still be significantly sped up in this new model. When the semi-trusted hardware is instantiated by Intel SGX, to generate 10k random OT's, our protocol is 50X and 270X faster than the EMP-ROT in the LAN and WAN setting, respectively. For the AES, SHA-1, and SHA-256 evaluation, our protocol is 4-5X and 40-50X faster than the EMP-SH2PC in the LAN and WAN setting, respectively.

Side-channel analysis (SCA) utilizing the power consumption of a device has proved to be an efficient technique for recovering secret keys exploiting the implementation vulnerability of mathematically secure cryptographic algorithms. Recently, Deep Learning-based profiled SCA (DL-SCA) has gained popularity, where an adversary trains a deep learning model using profiled traces obtained from a dummy device (a device that is similar to the target device) and uses the trained model to retrieve the secret key from the target device. \emph{However, for efficient key recovery from the target device, training of such a model requires a large number of profiled traces from the dummy device and extensive training time}. In this paper, we propose \emph{TranSCA}, a new DL-SCA strategy that tries to address the issue. \emph{TranSCA} works in three steps -- an adversary (1) performs a one-time training of a \emph{base model} using profiled traces from \emph{any} device, (2) fine-tunes the parameters of the \emph{base model} using significantly less profiled traces from a dummy device with the aid of \emph{transfer learning} strategy in lesser time than training from scratch, and (3) uses the fine-tuned model to attack the target device. We validate \emph{TranSCA} on simulated power traces created to represent different FPGA families. Experimental results show that the transfer learning strategy makes it possible to attack a new device from the knowledge of another device even if the new device belongs to a different family. Also, \emph{TranSCA} requires very few power traces from the dummy device compared to when applying DL-SCA without any previous knowledge.

Lattice-based cryptographic scheme is constructed based on hard problems on a structured lattice such as the short integer solution (SIS) problem and the learning with error (LWE), called ring-SIS (R-SIS), ring-LWE (R-LWE), module-SIS (M-SIS), and module-LWE (M-LWE). Generally, it has been considered that problems defined on the module-lattice are more difficult than the problems defined on the ideal-lattices. However, Albrecht and Deo showed that there is a reduction from M-LWE to R-LWE in the polynomial ring by handling the error rate and modulus. Also, Koo, No, and Kim showed that there is a reduction from M-SIS$_{q^{k},m^{k},\beta'}$ to R-SIS$_{q,m,\beta}$ under some norm constraint of R-SIS, where $k > 1$. In this paper, we propose the improved reductions related to M-SIS and R-SIS compared to the previous work. To show the improved reduction, we propose the three novel reductions related to M-SIS to R-SIS on the polynomial ring. First, we propose the reduction from R-SIS$_{q^{k},m,\beta'}$ to R-SIS$_{q^{k},m^{k},\beta^{k}}$. Combining one of the previous works, we obtain the reduction between R-SIS problems with distinct parameters preserving the number of samples of R-SIS. Second, we propose the improved reduction from M-SIS$_{q^{k},m,\beta'}$ to R-SIS$_{q^{k},m,\beta}$ with $k \ge 1$ under some norm constraint of R-SIS. Comparing to the previous work, the upper bound of the norm of the solution of M-SIS is decreased. Finally, we propose a reduction between M-SIS with different moduli. Combining these three results implies that R-SIS$_{q,m,\beta}$ is more difficult than M-SIS$_{C,m,\beta'}$, where $C$ is a multiple of $q^{k}$ for some $k \ge 1$ under some norm constraint of R-SIS, which provides a double extension of the possible range of module ranks for M-SIS compared to the previous work.

We study information-theoretic multiparty computation (MPC) protocols over rings $\mathbb{Z}/p^k \mathbb{Z}$ that have good asymptotic communication complexity for a large number of players. An important ingredient for such protocols is arithmetic secret sharing, i.e., linear secret-sharing schemes with multiplicative properties. The standard way to obtain these over fields is with a family of linear codes $C$, such that $C$, $C^\perp$ and $C^2$ are asymptotically good (strongly multiplicative). For our purposes here it suffices if the square code $C^2$ is not the whole space, i.e., has codimension at least 1 (multiplicative).

Our approach is to lift such a family of codes defined over a finite field $\mathbb F$ to a Galois ring, which is a local ring that has $\mathbb F$ as its residue field and that contains $\mathbb{Z}/p^k \mathbb{Z}$ as a subring, and thus enables arithmetic that is compatible with both structures. Although arbitrary lifts preserve the distance and dual distance of a code, as we demonstrate with a counterexample, the multiplicative property is not preserved. We work around this issue by showing a dedicated lift that preserves \emph{self-orthogonality} (as well as distance and dual distance), for $p \geq 3$. Self-orthogonal codes are multiplicative, therefore we can use existing results of asymptotically good self-dual codes over fields to obtain arithmetic secret sharing over Galois rings. For $p = 2$ we obtain multiplicativity by using existing techniques of secret-sharing using both $C$ and $C^\perp$, incurring a constant overhead. As a result, we obtain asymptotically good arithmetic secret-sharing schemes over Galois rings.

With these schemes in hand, we extend existing field-based MPC protocols to obtain MPC over $\mathbb{Z}/p^k \mathbb{Z}$, in the setting of a submaximal adversary corrupting less than a fraction $1/2 - \varepsilon$ of the players, where $\varepsilon > 0$ is arbitrarily small. We consider 3 different corruption models. For passive and active security with abort, our protocols communicate $O(n)$ bits per multiplication. For full security with guaranteed output delivery we use a preprocessing model and get $O(n)$ bits per multiplication in the online phase and $O(n \log n)$ bits per multiplication in the offline phase. Thus, we obtain true linear bit complexities, without the common assumption that the ring size depends on the number of players.

This paper considers multivariate polynomial equation systems over GF(2) that have a small number of solutions. This paper gives a new method EGHAM2 for solving such systems of equations that uses the properties of the Boolean quotient ring to potentially reduce memory and time complexity relative to existing XL-type or Groebner basis algorithms applied in this setting. This paper also establishes a direct connection between solving such a multivariate polynomial equation system over GF(2), an MQ problem, and an instance of the LPN problem.

This paper closes the question of the possibility of two-round MPC protocols achieving different security guarantees with and without the availability of broadcast in any given round. Cohen et al. [CGZ20] study this question in the dishonest majority setting; we complete the picture by studying the honest majority setting. In the honest majority setting, given broadcast in both rounds, it is known that the strongest guarantee — guaranteed output delivery — is achievable [GLS15]. We show that in this setting, given broadcast in the first round only, guaranteed output delivery is still achievable. Given broadcast in the second round only, identifiable abort and all weaker guarantees are achievable, but fairness — and thus guaranteed output delivery — are not. Finally, using only peer-to-peer channels, for corruption thresholds $t > 1$ we show that the weakest guarantee — selective abort — is the only one achievable. For $t = 1$ and $n \geq 4$, it is known [IKP10,IKKP15] that guaranteed output delivery (and thus all weaker guarantees) are possible. We show that for $t = 1$ and $n = 3$ the strongest achievable guarantee is selective abort, resolving the question of best achievable guarantees in two-round secure computation protocols.

In this paper we present a new representation of the AES key schedule, with some implications to the security of AES-based schemes. In particular, we show that the AES-128 key schedule can be split into four independent parallel computations operating on 32 bits chunks, up to linear transformation. Surprisingly, this property has not been described in the literature after more than 20 years of analysis of AES. We show two consequences of our new representation, improving previous cryptanalysis results of AES-based schemes. First, we observe that iterating an odd number of key schedule rounds results in a function with short cycles. This explains an observation of Khairallah on mixFeed, a second-round candidate in the NIST lightweight competition. Our analysis actually shows that his forgery attack on mixFeed succeeds with probability 0.44 (with data complexity 220GB), breaking the scheme in practice. The same observation also leads to a novel attack on ALE, another AES-based AEAD scheme. Our new representation also gives efficient ways to combine information from the first sub-keys and information from the last sub-keys, in order to reconstruct the corresponding master keys. In particular we improve previous impossible-differential attacks against AES-128.

The chair of IT Security at the Brandenburg University of Technology Cottbus-Senftenberg is currently seeking a highly motivated Junior Researcher / PhD Student (limited to 3 years, full time, with possibility for extension).

Tasks:
– Research in the area of intrusion detection systems (IDS) for critical infrastructures, secure cyber-physical systems, and artificial intelligence / machine learning for traffic analysis
– Implementation and evaluation of new algorithms and methods
– Cooperation and knowledge transfer with industrial partners
– Publication of scientific results
– Assistance with teaching

The employment takes place with the goal of doctoral graduation (obtaining a PhD degree).

Requirements:
– Master’s degree (or equivalent) in Computer Science or related disciplines
– Interest in IT security and/or networking and distributed systems
– Knowledge of at least one programming language (C++, Java, etc.) and one scripting language (Perl, Python, etc.) or willingness to quickly learn new programming languages
– Linux/Unix skills
– Knowledge of data mining, machine learning, statistics and result visualization concepts is of advantage
– Excellent working knowledge of English; German is of advantage
– Communication skills

For more information about the vacant position please contact Prof. A. Panchenko (E-Mail: itsec-jobs.informatik@lists.b-tu.de).

We value diversity and therefore welcome all applications. Applicants with disabilities will be given preferential treatment if they are equally qualified.

Applications containing:
– A detailed Curriculum Vitae
– Transcript of records from your Master studies
– An electronic version of your Master thesis, if possible
should be sent in a single PDF file by 26.10.2020 at itsec-jobs.informatik@lists.b-tu.de.

Closing date for applications:

Contact: Prof. Andriy Panchenko (itsec-jobs.informatik@lists.b-tu.de)

More information: https://www.b-tu.de/en/fg-it-sicherheit

Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment in the metropolitan area of Marrakech. The School of Computer and Communication Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco is currently looking for motivated and talented Postdoctoral researchers in applied cryptography, and Information security. The successful candidates will primarily be working on the following topics (but not limited to): • Threshold Cryptography • Blockchains and Cryptocurrencies • Secure Multi Party Computation • Cloud Computing Security • Lightweight Cryptography for IoT The ideal candidates should have a PhD degree in cryptography (or related field) from a leading university, and a proven record of publications in top cryptography/security/TCS venues. We offer competitive salary (the net salary per month is 2000 USD), a budget for conference travel and research visit, and membership in a young and vibrant team with several international contacts (for more see: https://www.um6p.ma/en). Submit your application via email including • full CV, • sample publications, • a detailed research proposal, • and 2-3 reference letters sent directly by the referees. There is no specific deadline for this call, but we will start looking at the applications from Oct 15th, 2020. Contact: Assoc. Prof. Mustapha Hedabou (mustapha.hedabou@um6p.ma) https://career2.successfactors.eu/sfcareer/jobreqcareer?jobId=1339&company=ump

Closing date for applications:

Contact: Assoc. Prof. Mustapha Hedabou (mustapha.hedabou@um6p.ma)

More information: https://career2.successfactors.eu/sfcareer/jobreqcareer?jobId=1339&company=ump

The School of Cyber Science and Engineering (formerly known as the School of Information Security Engineering) of Shanghai Jiao Tong University was founded in October 2000. It was the first school-level training base for high-level information security professionals in China and was jointly established by the Ministry of Education of China, the Ministry of Science and Technology of China, and the Shanghai Municipal People’s Government. The undergraduate and postgraduate students of the school mainly come from the top 100 key high schools and 985/double first-class universities in China. The school is ranked among the best cyberspace security nationwide every year. The school has a solid foundation and strength in the field of academic research and technological innovation on cyberspace security. The school is committed to building a world-class academic research center, cultivating the talents of the country and society. The school is in great demand of a number of world renowned professors, outstanding young researchers, full-time research fellows and post-doctors. The school now has about 20 positions available at the rank of tenure-track Assistant Professors, tenure-track Associate Professors, or tenured Full Professors in theory and practice of cyberspace security. Applicants should have (a) a doctoral degree in Computer Science, Electronic Engineering, Communication, Mathematics or Statistics; (b) an established track record in research and scholarship; (c) expertise in the cryptographic and security research areas; and (d) a demonstrated commitment to excellence in teaching. The school will provide highly competitive remuneration packages and assist applicants to apply for various national, provincial and ministerial level talent programs such as “1000 Youth Talents Program”, Shanghai “Oriental Scholar Program”,etc. We will also assist on employment of spouses, schooling for children and medical care.

Closing date for applications:

Contact: Chaoping Xing, emial: xingcp@sjtu.edu.cn Linjie Li, email: lilinjie@sjtu.edu.cn

A Leakage Resilient Secret Sharing (LRSS) is a secure secret sharing scheme, even when the adversary obtains some (bounded) leakage on honest shares. Ideally, such schemes must be secure against adaptive and joint leakage queries - i.e., the adversary can make a sequence of adaptive leakage queries where each query can be a joint function of many of the shares. The most important parameters of interest are the rate (= $\frac{|secret|}{|longest share|}$) and the leakage rate (ratio of the total allowable leakage from a single leakage query to the size of a share). None of the prior works tolerating such adaptive and joint leakage could attain a constant rate and constant leakage rate, even for the threshold access structure. An LRSS is non-malleable (LRNMSS) when an adversary cannot tamper shares in a way that the reconstructed secret is related to the original secret. Similar to LRSSs, none of the prior LRNMSS schemes in the information theoretic setting could attain a constant rate, even for the threshold access structure.

In this work, we provide the first constant rate LRSS (for the general access structure) and LRNMSS (for the threshold access structure) schemes that tolerate such joint and adaptive leakage in the information-theoretic setting. We show how to make use of our constructions to also provide constant rate constructions of leakage-resilient (and non-malleable) secure message transmission.

We obtain our results by introducing a novel object called Adaptive Extractors. Adaptive extractors can be seen as a generalization of the notion of exposure-resilient extractors (Zimand, CCC 2006). Such extractors provide security guarantees even when an adversary obtains leakage on the source of the extractor after observing the extractor output. We make a compelling case for the study of such extractors by demonstrating their critical use for obtaining adaptive leakage and believe that such an object will be of independent interest.

In this paper, various quantitative information-theoretic security reductions which correlate statistical difference between two probability distributions with security level’s gap between two cryptographic schemes are proposed. Security is the most important prerequisite for cryptographic primitives. In general, there are two kinds of security; one is computational security, and the other is information-theoretic security. We focus on latter one in this paper, especially the view point of bit security which is a convenient notion to indicate the quantitative security level. We propose tighter and more generalized version of information-theoretic security reductions than those of the previous works [1,2]. More specifically, we obtain about 2.5-bit tighter security reduction than that in previous work [2], and we devise a further generalized version of security reduction in the previous work [1] by relaxing the constraint on the upper bound of the information-theoretic measure, that is, λ-efficient. Through this work, we propose the methodology to estimate the affects on security level when κ-bit secure original scheme is implemented on p-bit precision system. (Here, p can be set to any value as long as certain condition is satisfied.) In the previous work [1], p was fixed as κ/2, but our result is generalized to make it possible to security level κ and precision p variate independently. Moreover, we provide diverse types of security reduction formulas for the five kinds of information-theoretic measures. We are expecting that our results could provide an information-theoretic guideline for how much the two identical cryptographic schemes (i.e., the only difference is probability distribution) may show the difference in their security level when extracting their randomness from two different probability distributions. Especially, our results can be used to obtain the quantitative estimation of how much the statistical difference between the ideal distribution and the real distribution affects the security level.

We present a signature scheme for Hamming metric random linear codes via the Schnorr-Lyubashevsky framework that employs the rejection sampling on appropriate probability distributions instead of using trapdoors. Such an approach has been widely believed to be more challenging for linear codes as compared to lattices with Gaussian distributions. We prove that our signature scheme achieves EUF-CMA security under the assumption of the decoding one out of many problem or achieves strong EUF-CMA security under the assumption of the codeword finding problem under relaxed parameters. We provide an instantiation of the signature scheme based on Ring-LPN instances as well as quasi-cyclic codes and present some concrete parameters. In addition, a proof of concept implementation of the scheme is provided. We compare our scheme with previous unsuccessful similar attempts and provide a rigorous security analysis of our scheme.

Our construction primarily relies on an efficient rejection sampling lemma for binary linear codes with respect to suitably defined variants of the binomial distribution. Essentially, the rejection sampling lemma indicates that adding a small weight vector to a large weight vector has no significant effect on the distribution of the large weight vector. Concretely, we prove that if the large weight is at least the square of the small weight and the large weight vector admits binomial distribution, the sum distribution of the two vectors can be efficiently adjusted to a binomial distribution via the rejection step and independent from the small weight vector. As a result, our scheme outputs a signature distribution that is independent of the secret key.

Compared to two existing code based signature schemes, namely Durandal and Wave, the security of our scheme is reduced to full-fledged hard coding problems i.e., codeword finding problem and syndrome decoding problem for random linear codes. By contrast, the security of the Durandal and Wave schemes is reduced to newly introduced product spaces subspaces indistinguishability problem and the indistinguishability of generalized $(U,U+V)$ codes problem, respectively. We believe that building our scheme upon the more mature hard coding problems provides stronger confidence to the security of our signature scheme.