International Association
for Cryptologic Research

XS-circuits describe cryptographic primitives that utilize 2 operations on binary words of fixed length: X) bitwise modulo 2 addition and S) substitution. The words are interpreted as elements of a field of characteristic 2. In this paper, we develop a model of XS-circuits according to which several instances of a simple round circuit containing only one S operation are linked together and form a compound circuit called a cascade. S operations of a cascade are interpreted as independent round oracles. When a cascade processes a pair of different inputs, some round oracles get different queries, these oracles are activated. The more activations, the higher security guarantees against differential cryptanalysis the cascade provides. We introduce the notion of the guaranteed number of activations, that is, the minimum number of activations over all choices of the base field, round oracles and pairs of inputs. We show that the guaranteed number of activations is related to the minimum distance of the linear code associated with the cascade. It is also related to the minimum number of occurrences of units in segments of binary linear recurrence sequences whose characteristic polynomial is determined by the round circuit. We provide an algorithm for calculating the guaranteed number of activations. This algorithm can also be used to deal with linear activations related to linear cryptanalysis.

We explore global verifiability; discovering that voting systems vulnerable to attack can be proven to satisfy that security notion, whereas many secure systems cannot. We conclude that current definitions are unsuitable for the analysis of voting systems, fuelling the exploration for a suitable definition.

It is standard practice that the secret key derived from an execution of a Password Authenticated Key Exchange (PAKE) protocol is used to authenticate and encrypt some data payload using a Symmetric Key Protocol (SKP). Unfortunately, most PAKEs of practical interest are studied using so-called game-based models, which – unlike simulation models – do not guarantee secure composition per se. However, Brzuska et al. (CCS 2011) have shown that middle ground is possible in the case of authenticated key exchange that relies on Public- Key Infrastructure (PKI): the game-based models do provide secure composition guarantees when the class of higher-level applications is restricted to SKPs. The question that we pose in this paper is whether or not a similar result can be exhibited for PAKE. Our work answers this question positively. More specifically, we show that PAKE protocols secure according to the game-based Real-or-Random (RoR) definition with the weak forward secrecy of Abdalla et al. (S&P 2015) allow for safe composition with arbitrary, higher-level SKPs. Since there is evidence that most PAKEs secure in the Find-then-Guess (FtG) model are in fact secure according to RoR definition, we can conclude that nearly all provably secure PAKEs enjoy a certain degree of composition, one that at least covers the case of implementing secure channels

We put forward a symmetric encryption primitive tailored towards a specific application: outsourced storage. The setting assumes a memory-bounded computing device that inflates the amount of volatile or permanent memory available to it by letting other (untrusted) devices hold encryptions of information that they return on request. For instance, web servers typically hold for each of the client connections they manage a multitude of data, ranging from user preferences to technical information like database credentials. If the amount of data per session is considerable, busy servers sooner or later run out of memory. One admissible solution to this is to let the server encrypt the session data to itself and to let the client store the ciphertext, with the agreement that the client reproduce the ciphertext in each subsequent request (e.g., via a cookie) so that the session data can be recovered when required.

In this article we develop the cryptographic mechanism that should be used to achieve confidential and authentic data storage in the encrypt-to-self setting, i.e., where encryptor and decryptor coincide and constitute the only entity holding keys. We argue that standard authenticated encryption represents only a suboptimal solution for preserving confidentiality, as much as message authentication codes are suboptimal for preserving authenticity. The crucial observation is that such schemes instantaneously give up on all security promises in the moment the key is compromised. In contrast, data protected with our new primitive remains fully integrity protected and unmalleable. In the course of this paper we develop a formal model for encrypt-to-self systems, show that it solves the outsourced storage problem, propose surprisingly efficient provably secure constructions, and report on our implementations.

Recent years have seen a major involvement of deep learning architecture in the cryptanalysis of various lightweight ciphers. The present study is inspired by the work of Gohr and Baksi et al. in the field to develop a deep neural network-based differential distinguisher for round reduced PRESENT lightweight block cipher. We present a multi-layer perceptron network which can distinguish between 3-6 rounds of PRESENT cipher data and a randomly generated data with a significantly high probability. We also discuss the possible improvements in the original approach of the differential distinguisher presented by Baksi et al.

Adaptor signatures, also known as scriptless scripts, have recently become an important tool in addressing the scalability and interoperability issues of blockchain applications such as cryptocurrencies. An adaptor signature extends a digital signature in a way that a complete signature reveals a secret based on a cryptographic condition. It brings about various advantages such as (i) low on-chain cost, (ii) improved fungibility of transactions, and (iii) advanced functionality beyond the limitation of the blockchain's scripting language.

In this work, we introduce the first post-quantum adaptor signature, named LAS. Our construction relies on the standard lattice assumptions, namely Module-SIS and Module-LWE. There are certain challenges specific to the lattice setting, arising mainly from the so-called knowledge gap in lattice-based proof systems, that makes the realization of an adaptor signature and its applications difficult. We show how to overcome these technical difficulties without introducing additional on-chain costs.

Our evaluation demonstrates that LAS is essentially as efficient as an ordinary lattice-based signature in terms of both communication and computation. We further show how to achieve post-quantum atomic swaps and payment channel networks using LAS.

We conduct a systematic study on the light-client protocol of permissionless blockchains, in the setting where full nodes and light clients are rational. In the game-theoretic model, we design a superlight-client protocol to enable a light client to employ some relaying full nodes (e.g., two or one) to read the blockchain. The protocol is ``generic'', i.e., it can be deployed disregarding underlying consensuses, and it is also ``superlight'', i.e., the computational cost of the light client to predicate the (non)existence of a transaction in the blockchain becomes a small constant. Since our protocol resolves a fundamental challenge of broadening the usage of blockchain technology, it captures a wide variety of important use-cases such as multi-chain wallets, DApp browsers and more.

With the rapid popularity of blockchain, decentralized human intelligence tasks (HITs) are proposed to crowdsource human knowledge without relying on vulnerable third-party platforms. However, the inherent limits of blockchain cause decentralized HITs to face a few ``new'' challenges. For example, the confidentiality of solicited data turns out to be the sine qua non, though it was an arguably dispensable property in the centralized setting. To ensure the ``new'' requirement of data privacy, existing decentralized HITs use generic zero-knowledge proof frameworks (e.g., SNARK), but scarcely perform well in practice, due to the inherently expensive cost of generality.

We present a practical decentralized protocol for HITs, which also achieves the fairness between requesters and workers. At the core of our contributions, we avoid the powerful yet highly-costly generic zk-proof tools and propose a special-purpose scheme to prove the quality of encrypted data. By various non-trivial statement reformations, proving the quality of encrypted data is reduced to efficient verifiable decryption, thus making decentralized HITs practical. Along the way, we rigorously define the ideal functionality of decentralized HITs and then prove the security due to the ideal/real paradigm.

We further instantiate our protocol to implement a system called Dragoon, an instance of which is deployed atop Ethereum to facilitate an image annotation task used by ImageNet. Our evaluations demonstrate its practicality: the on-chain handling cost of Dragoon is even less than the handling fee of Amazon's Mechanical Turk for the same ImageNet HIT.

Multi-valued validated asynchronous Byzantine agreement (MVBA), proposed in the elegant work of Cachin et al. (CRYPTO ’01), is fundamental for critical fault-tolerant services such as atomic broadcast in the asynchronous network. It was left as an open problem to asymptotically reduce the $O(ln^2+lambda n^2+n^3)$ communication (where $n$ is the number of parties, $l$ is the input length, and $lambda$ is the security parameter). Recently, Abraham et al. (PODC ’19) removed the $n^3$ term to partially answer the question when input is small. However, in other typical cases, e.g., building atomic broadcast through MVBA, the input length $l >= lambda n$, and thus the communication is dominated by the $ln^2$ term and the problem raised by Cachin et al. remains open.

We fill the gap and answer the remaining part of the above open problem. In particular, we present two MVBA protocols with $O(l n+lambda n^2$ communicated bits, which is optimal when $l >= lambda n$. We also maintain other benefits including optimal resilience to tolerate up to $n/3$ adaptive Byzantine corruptions, optimal expected constant running time, and optimal $O(n^2) messages.

At the core of our design, we propose asynchronous provable dispersal broadcast (APDB) in which each input can be split and dispersed to every party and later recovered in an efficient way. Leveraging APDB and asynchronous binary agreement, we design an optimal MVBA protocol, Dumbo-MVBA; we also present a general self-bootstrap framework Dumbo-MVBA★ to reduce the communication of any existing MVBA protocols.

HoneyBadgerBFT, proposed by Miller et al. [32] as the first practical asynchronous atomic broadcast protocol, demonstrated impressive performance. The core of HoneyBadgerBFT (HB-BFT) is to achieve batching consensus using asynchronous common subset protocol (ACS) of Ben-Or et al., constituted with $n$ reliable broadcast protocol (RBC) to have each node propose its input, followed by $n$ asynchronous binary agreement protocol (ABA) to make a decision for each proposed value ($n$ is the total number of nodes).

In this paper, we propose two new atomic broadcast protocols (called Dumbo1, Dumbo2) both of which have asymptotically and practically better efficiency. In particular, the ACS of Dumbo1 only runs a small $k$ (independent of $n$) instances of ABA, while that of Dumbo2 further reduces it to constant! At the core of our techniques are two major observations: (1) reducing the number of ABA instances significantly improves efficiency; and (2) using multi-valued validated Byzantine agreement (MVBA) which was considered sub-optimal for ACS in [32] in a more careful way could actually lead to a much more efficient ACS.

We implement both Dumbo1, Dumbo2 and deploy them as well as HB-BFT on 100 Amazon EC2 t2.medium instances uniformly distributed throughout 10 different regions across the globe, and run extensive experiments in the same environments. The experimental results show that our protocols achieve multi-fold improvements over HoneyBadgerBFT on both latency and throughput, especially when the system scale becomes moderately large.

A high-quality outsourced storage service is crucial for many existing applications. For example, hospitals and data centers need to guarantee the availability of their systems to perform routine daily activities. Such a system should protect users against downtime and ensure data availability over time. Continuous data availability is a critical property to measure the quality of an outsourced storage service, which implies that outsourced data is continuously available to the server during the entire storage period. We formally study the Proof of Storage-Time (PoSt), the notion initially proposed in the Filecoin whitepaper, which enables a verifier to audit the continuous data availability of an outsourced storage service. We provide a formal security model of PoSt and generic constructions that are proven secure under our definition. Moreover, our concrete instantiation can yield a PoSt protocol with an extremely efficient verification: a single hash computation to verify a proof of size around 200 bits. This makes our scheme applicable even in the decentralized storage marketplace enabled by blockchain.

In this paper we make an extensive analysis of SAKE$^+$ and SAKE$^+$-AM, two key exchange protocols. We show that several attacks are practicable against these protocols. This invalidates several claims made by the authors regarding the (security) properties of their protocols. Our results question also the correctness of the corresponding security proofs, made in the computational model (using the game-based methodology), and with the ProVerif verification tool.

PudgyTurtle is a way to use keystream to encode plaintext before XOR-based (stream cipher-like) encryption. It makes stream ciphers less efficient -- a typical implementation requiring about five times as much keystream and producing about twice as much ciphertext -- but also more robust against time-memory-data tradeoff attacks. PudgyTurtle can operate alongside any keystream generator, and thus functions somewhat like an encryption mode for stream ciphers. Here, we introduce the mechanics or PudgyTurtle and discuss its design motivations.

We present a generic forgery attack on signature schemes constructed from 5-round identification schemes made non-interactive with the Fiat-Shamir transform. The attack applies to ID schemes that use parallel repetition to decrease the soundness error. The attack can be mitigated by increasing the number of parallel repetitions, and our analysis of the attack facilitates parameter selection.

We apply the attack to MQDSS, a post-quantum signature scheme relying on the hardness of the MQ-problem. Concretely, forging a signature for the L1 instance of MQDSS, which should provide 128 bits of security, can be done in $\approx 2^{95}$ operations. We verify the validity of the attack by implementing it for round-reduced versions of MQDSS, and the designers have revised their parameter choices accordingly.

We also survey other post-quantum signature algorithms and find the attack succeeds against PKP-DSS (a signature scheme based on the hardness of the permuted kernel problem) and list other schemes that may be affected. Finally, we use our analysis to choose parameters and investigate the performance of a 5-round variant of the Picnic scheme.

A major challenge when applying cryptography on constrained environments is the trade-off between performance and security. In this work, we analyzed different strategies for the optimization of several candidates of NIST's lightweight cryptography standardization project on a RISC-V architecture. In particular, we studied the general impact of optimizing symmetric-key algorithms in assembly and in plain C. Furthermore, we present optimized implementations, achieving a speed-up of up to 81% over available implementations, and discuss general implementation strategies.

The nonlinearity of Boolean function is an important cryptographic criteria in the Best Affine Attack approach. In this paper, based on the definition of nonlinearity, we propose a new design index of nonlinear feedback shift registers. Using the index and the correlative necessary conditions of de Bruijn sequence feedback function, we prove that when $n \ge 9$, the maximum nonlinearity $Nl{(f)_{\max }}$ of arbitrary $n - $order de Bruijn sequence feedback function $f$ satisfies $3 \cdot {2^{n - 3}} - ({Z_n} + 1) < Nl{(f)_{\max }} \le {2^{n - 1}} - {2^{\frac{{n - 1}}{2}}}$ and the nonlinearity of de Bruijn sequence feedback function, based on the spanning tree of adjacency graph of affine shift registers, has a fixed value. At the same time, this paper gives the correlation analysis and practical application of the index.

The SISCOM Research Group (https://siscom.upc.edu/en) within the Department of Network Engineering (https://entel.upc.edu/en) at the Universitat Politècnica de Catalunya (UPC) (https://www.upc.edu/en/) welcomes and encourages applications for a PhD position in the area of database privacy to start in fall 2020.

DESCRIPTION OF POSITION

The PhD position has a duration of 3 years and is made available through the research project “Big Data Anonymization” funded by “la Caixa”, a top Spanish financial institution. The main objectives of this project are to pioneer advance beyond state of the art on the design of anonymization algorithms and to develop a comprehensive understanding of privacy in a context of big data. The ultimate aim is to contribute to making big data compatible with the right to privacy. For the scholarship, we are looking for a candidate who is qualified to undertake supervised independent research in the area of database anonymization, in particular in the protection of dynamic data under popular syntactic models (e.g., l-diversity, t-closeness) and differential privacy.

QUALIFICATIONS

We seek a highly motivated PhD student

• who has completed or is about to complete by summer 2020 a Master's degree in mathematics, computer science, or telecom engineering;
• with excellent academic record;
• good analytical skills;
• strong oral and written communication skills.

APPLICATION

Candidates should send to Prof. Jordi Forné (jordi.forne@upc.edu) the following information:

• their CV (including list of publications, if any);
• their academic record (with marks);
• a certificate of English (TOEFL, Cambridge or similar).

DEADLINE

September 15, 2020.

Closing date for applications:

Contact: Prof. Jordi Forné

Event date: 9 November 2020
Submission deadline: 23 July 2020
Notification: 26 August 2020

1. Overall introduction. There are Ph.D. position openings (full scholarship, tuition & very competitive stipend) at Dr. Jiafeng Harvest Xie's Security & Cryptography (SAC) Lab for the Fall of 2020, located at the Department of Electrical and Computer Engineering of Villanova University (PA, USA).

2. Research area. Post quantum cryptography hardware implementation, fault detection/attack, and hardware security.

3. Qualification. Preferred to have research experience in the areas of cryptographic engineering, fault detection, hardware security, and VLSI design. Students from electrical/computer engineering, computer science, and cryptography (applied mathematics) or other related majors are WARMLY welcome! Programming skills such as HDL, C++ will be more favorable.

NOTE: because of the time urgency, it's better that you are currently in U.S.

4. Application process. Interested students can directly send the CV/resume to Dr. Jiafeng Harvest Xie's email: jiafeng.xie@villanova.edu.

5. Application information. The detailed application requirement is available at the department website.

6. Additional information. Villanova University is a private research university located in Radnor Township, a suburb northwest of Philadelphia, Pennsylvania. U.S. News & World Report ranks Villanova as tied for the 46th best National University in the U.S. for 2020.

7. PI introduction. Dr. Jiafeng Harvest Xie is currently an Assistant Professor at the Department of Electrical and Computer Engineering of Villanova University. His research interests include cryptographic engineering, hardware security, and VLSI digital design. He is the Best Paper Awardee of IEEE HOST 2019. He is also the Associate Editor for Microelectronics Journal, IEEE Access, and IEEE Trans. Circuits and Systems II.

Contact: Dr. Jiafeng Harvest Xie, email: jiafeng.xie@villanova.edu

Closing date for applications:

Contact: Dr. Jiafeng Harvest Xie, email: jiafeng.xie@villanova.edu

More information: https://www1.villanova.edu/villanova/engineering/departments/ece/facultyStaff/biodetail.html?mail=jiafeng.xie@villanova.

The comparison function of the two numbers is one of the most commonly used operations in many applications including deep learning and data processing systems. Several studies have been conducted to efficiently evaluate the comparison function in homomorphic encryption schemes which only allow addition and multiplication for the ciphertext. Recently, new comparison methods that approximate sign function using composite polynomial in the homomorphic encryption, called homomorphic comparison operation, were proposed and it was proved that the methods have optimal asymptotic complexity. In this paper, we propose new optimal algorithms that approximate the sign function in the homomorphic encryption by using composite polynomials of the minimax approximate polynomials, which are constructed by the modified Remez algorithm. It is proved that the number of required non-scalar multiplications and depth consumption for the proposed algorithms are less than those for any methods that use a composite polynomial of component polynomials with odd degree terms approximating the sign function, respectively. In addition, an optimal polynomial-time algorithm for the proposed homomorphic comparison operation is proposed by using dynamic programming. As a result of numerical analysis, for the case that we want to minimize the number of non-scalar multiplications, the proposed algorithm reduces the required number of non-scalar multiplications and depth consumption by about 33\% and 35\%, respectively, compared to those for the previous work. In addition, for the case that we want to minimize the depth consumption, the proposed algorithm reduces the required number of non-scalar multiplications and depth consumption by about 10\% and 47\%, respectively, compared to those for the previous work.