International Association
for Cryptologic Research

Limited to 3 years, full time, with possibility for extension Our chair performs research and teaching in the area of IT Security with a strong focus on Network Security and Online Privacy. Our goal is to advance the state of the art in research and to educate qualified computer scientists in the area of IT Security who are able to meet the challenges of the growing demand on securing IT Systems and provide data protection in various areas of our life and society. More information about us can be found at https://www.b-tu.de/en/fg-it-sicherheit. Tasks:

▶ Active 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

Requirements:

▶ Master’s degree (or equivalent) and PhD degree (only for PostDocs) in Computer Science or related disciplines

▶ Strong 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 strong 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

▶ Excellent communication skills

Applications containing the following documents:

▶ 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 as soon as possible, but not later than 01.05.2023 at itsec-jobs.informatik@lists.b-tu.de.

Closing date for applications:

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

There is an open call for one postdoc position at the Department of Mathematics of the University of Genova (Italy) in Algebra/Geometry and their applications to Cryptography.

The position is funded by my Curiosity Driven Project about "Algebraic and Geometric Methods in Cryptography". It is for 1+1 years, and comes with no teaching duties and some research funds. The expected starting date is September 1st 2023, with little flexibility. The expected annual gross salary is about 23250€.

The selected candidate is expected to work under my supervision and to develop their own research programme. A strong familiarity with with one or more of the following topics is expected: Commutative Algebra, Algebraic Geometry, Computational Algebra systems (in particular, Macaulay2 and Magma), and Cryptography, in particular Post-quantum Cryptography.

Deadline:: 29/05/2023 at 12:00:00 (Italian time)
Duration: 1+1 Years
More Info: https://alessiocaminata.wixsite.com/alca/post-doc

Closing date for applications:

Contact: Alessio Caminata, https://www.dima.unige.it/~caminata/

More information: https://alessiocaminata.wixsite.com/alca/post-doc

In this paper, we propose the first linear two-party secure-computation private set intersection (PSI) protocol, in the semi-honest adversary model, computing the following functionality. One of the parties ($P_X$) inputs a set of items $X = \{x_j \mid 1 \le j \le n_X\}$, whereas the other party ($P_Y$) inputs a set of items $Y = \{y_i \mid 1\le i \le n_Y \}$ and a set of corresponding data pairs $D_Y = \{ (d_i^0,d_i^1) \mid 1 \le i \le n_Y\}$ having the same cardinality with $Y$. While $P_Y$ outputs nothing, $P_X$ outputs a set of data $D_X = \{ d_i^{b_i} \mid b_i = 1 \text{ if } y_i \in X, b_i = 0 \text{ otherwise}\}$. This functionality is generally required when the PSI protocol is used as a part of a larger secure two-party computation such as threshold PSI or any function of the intersection in general. In literature, there are linear circuit and secure-computation PSI proposals, such as Pinkas et al. PSI protocol (Eurocrypt 2019), our PSI protocol (CANS 2020) and Chandran et al. PSI protocol (PETS 2022), for similar functionalities but having a cuckoo table mapping in the functionality, which complicates the application of different secure computation techniques on top of the output of the PSI protocol. We also show that the idea in the construction of our secure-computation PSI protocol having the functionality mentioned above can be utilized to convert the existing circuit PSI and secure-computation PSI protocols into the protocols realizing the functionality not having the cuckoo table mapping. We provide this conversion method as a separate protocol, which is one of the main contributions of this work. While creating the protocol, as a side contribution, we provide a one-time batch oblivious programmable pseudo-random function based on garbled Bloom filters.

Online auctions have a steadily growing market size, creating billions of US dollars in sales value every year. To ensure fairness and auditability while preserving the bidder's privacy is the main challenge of an auction scheme. At the same time, utility driven blockchain technology is picking up the pace, offering transparency and data integrity to many applications. In this paper, we present a blockchain-based first price sealed-bid auction scheme. Our scheme offers privacy and public verifiability. It can be built on any public blockchain, which is leveraged to provide transparency, data integrity, and hence auditability. The inability to double spend on a blockchain is used to prevent bid replay attacks. Moreover, our scheme can achieve non-repudiation for both bidders and the auctioneer without revealing the bids and we encapsulate this concept inside the public verification of the auction. We propose to use ElGamal encryption and Bulletproofs to construct an efficient instantiation of our scheme. We also propose to use recursive zkSNARKs to reduce the number of comparison proofs from $N-1$ to $1$, where $N$ is the number of bidders.

This paper analyses the security of the so-called Milenage construction, developed by ETSI SAGE, when it is based on a non-one-to-one pseudo-random function (PRF) rather than a one-to-one pseudo-random permutation (PRP). It is shown that Milenage based on an $n$-bit random function and producing $t$ $n$-bit outputs, is indistinguishable from a random $tn$-bit function up to $q = O(2^{n/2}/ t)$ queries. We also extend the existing security proof for PRP-based Milenage due to Gilbert by incorporating also the Milenage message authentication function in the proof.

ChatGPT, which emerged at the end of 2022, has gained significant attention as a highly advanced conversational artificial intelligence service. Developed by OpenAI, ChatGPT is a natural language processing model. There are instances where individuals might want to attempt programming using ChatGPT. In this paper, we utilized the ChatGPT to implement a cryptographic algorithms. Despite numerous trial and error efforts, it was possible to implement cryptography through ChatGPT. This implies that even without extensive coding skill or programming knowledge, one can implement cryptography through ChatGPT if they understand the cryptographic structure. However, the ability to analyze the source code is essential, as it is necessary to identify incorrect parts within the implemented code.

Proof-of-stake systems require stakers to lock up their funds in order to participate in consensus validation. This leads to capital inefficiency, as locked capital cannot be invested in Decentralized Finance (DeFi). Liquid staking rewards stakers with fungible tokens in return for staking their assets. These fungible tokens can in turn be reused in the DeFi economy. However, liquid staking introduces unexpected risks, as all delegated stake is now fungible. This exacerbates the already existing Principal–Agent problem faced during any delegation, in which the interests of the delegator (the Principal) are not aligned with the interests of the validator (the Agent). In this paper, we study the Principal–Agent problem in the context of liquid staking. We highlight the dilemma between the choice of proportional representation (having one's stake delegated to one's validator of choice) and fair punishment (being economically affected only when one's choice is misinformed). We put forth an attack illustrating that these two notions are fundamentally incompatible in an adversarial setting. We then describe the mechanism of exempt delegations, used by some staking systems today, and devise a precise formula for quantifying the correct choice of exempt delegation which allows balancing the two conflicting virtues in the rational model.

This paper implements a vectorization–friendly polynomial multiplication for the NTRU Prime parameter sets ntrulpr761/sntrup761 with AVX2 based on the recently released work [Chen, Chung, Hwang, Liu, and Yang, Cryptology ePrint Archive, 2023/541]. Our big-by-big polynomial multiplication is 1.77 times faster than the state-of-the-art optimized implementation by [Bernstein, Brumley, Chen, and Tuveri, USENIX Security 2022] on Haswell with AVX2.

This note introduces a public-key variant of TFHE. The output ciphertexts are of LWE type. Interestingly, the public key is shorter and the resulting ciphertexts are less noisy. The security of the scheme holds under the standard RLWE assumption. Several variations and extensions are also described.

We propose a secure multiparty signing protocol for the BBS+ signature scheme; in other words, an anonymous credential scheme with threshold issuance. We prove that due to the structure of the BBS+ signature, simply verifying the signature produced by an otherwise semi-honest protocol is sufficient to achieve composable security against a malicious adversary. Consequently, our protocol is extremely simple and efficient: it involves a single request from the client (who requires a signature) to the signing parties, two exchanges of messages among the signing parties, and finally a response to the client; in some deployment scenarios the concrete cost bottleneck may be the client's local verification of the signature that it receives. Furthermore, our protocol can be extended to support the strongest form of blind signing and to serve as a distributed evaluation protocol for the Dodis-Yampolskiy Oblivious VRF. We validate our efficiency claims by implementing and benchmarking our protocol.

In this paper we introduce a novel version of the Joye-Libert cryptosystem that allows users to decrypt without knowing the factorisation of the composite modulus. Then we use our construction as a building block for a threshold decryption protocol of the homomorphic Joye-Libert encryption scheme. Finally, we present several extensions of the threshold cryptosystem.

Fully homomorphic encryption is a revolutionary technology that allows arbitrary computations on encrypted data, providing privacy and security. State-of-the-art schemes such as the Fan-Vercauteren (FV) scheme are based on the Learning with Errors assumption and its variants. Thus, each ciphertext has an error that increases with each homomorphic operation. To maintain correctness, the error must be kept below a certain threshold, which requires a balance between security and computational efficiency. Therefore, choosing optimal, secure, and efficient parameters can be a challenging task, even for experts in a particular scheme.

In this paper, we present two major contributions to improve the parameter selection in the FV scheme. We perform the first average case analysis to estimate the error growth. Our method significantly improves on previous work in terms of accuracy and tightness of bounds. For a circuit with a multiplicative depth of only 3, our bounds are within 1.2 bits of the experimentally observed values while being up to 19 bits tighter than previous analyses.

In addition, we take advantage of our theoretical advances and propose the first parameter generation tool for the FV scheme. Here we add support for arbitrary but use-case-specific circuits, as well as the ability to generate easy-to-use code snippets, making our theoretical work accessible to both researchers and practitioners.

In this paper we formally introduce a novel mode of operation based on the cipher block chaining mode. The main idea of this mode is to use a stateful block cipher instead of a stateless one. Afterwards, we show how to implement our proposal and present a performance analysis of our mode. Next, we provide a concrete security analysis by computing a tight bound on the success of adversaries based on their resources. The results of our performance and security analyses are that this novel mode is more secure than the cipher block chaining mode for large files, but the encryption/decryption time doubles/triples. Therefore, our novel mode is suitable for encrypting large files, when higher security is required, but speed is not paramount. Note that the changes required to transform the software implementations of the cipher block chaining mode into this new mode are minimal, and therefore transitioning to this new mode is straightforward.

Threshold signatures protect the signing key by sharing it among a group of signers so that an adversary must corrupt a threshold number of signers to be able to forge signatures. Existing threshold signatures with succinct signatures and constant verification times do not work if signers have different weights. Such weighted settings are seeing increasing importance in decentralized systems, especially in the Proof-of-Stake blockchains. This paper presents a new paradigm for threshold signatures for pairing- and discrete logarithm-based cryptosystems. Our scheme has a compact verification key consisting of only 7 group elements, and a signature consisting of 8 group elements. Verifying the signature requires 1 exponentiation and 13 bilinear pairings. Our scheme supports arbitrary weight distributions among signers and arbitrary thresholds. It requires non-interactive preprocessing after a universal powers-of-tau setup. We prove the security of our scheme in the Algebraic Group Model and implement it using golang. Our evaluation shows that our scheme achieves a comparable signature size and verification time to a standard (unweighted) threshold signature. Compared to existing multisignature schemes, our scheme has a much smaller public verification key.

In a vertical federated learning (VFL) system consisting of a central server and many distributed clients, the training data are vertically partitioned such that different features are privately stored on different clients. The problem of split VFL is to train a model split between the server and the clients. This paper aims to address two major challenges in split VFL: 1) performance degradation due to straggling clients during training; and 2) data and model privacy leakage from clients’ uploaded data embeddings. We propose FedVS to simultaneously address these two challenges. The key idea of FedVS is to design secret sharing schemes for the local data and models, such that information-theoretical privacy against colluding clients and curious server is guaranteed, and the aggregation of all clients’ embeddings is reconstructed losslessly, via decrypting computation shares from the non- straggling clients. Extensive experiments on various types of VFL datasets (including tabular, CV, and multi-view) demonstrate the universal advantages of FedVS in straggler mitigation and privacy protection over baseline protocols.

Modular arithmetic used for cryptography includes modular adding, modular subtracting, modular multiplying, modular inverting, modular exponentiating etc. In this paper, the authors well analyze the bit complexity of a bitwise modular operation and the time complexity of a non-bitwise modular operation. Besides discuss the clock cycles for one bytewise modular operation utilizing directives from the ATmel 8-bit AVR instruction set. Last, reveal that the ratio of derivate numbers of clock cycles for two modular operations under different modulus lengths is almost a constant.

In this paper, we present a new diverse class of post-quantum group-based Digital Signature Schemes (DSS). The approach is significantly different from previous examples of group-based digital signatures and adopts the framework of group action-based cryptography: we show that each finite group defines a group action relative to the semidirect product of the group by its automorphism group, and give security bounds on the resulting signature scheme in terms of the group-theoretic computational problem known as the Semidirect Discrete Logarithm Problem (SDLP). Crucially, we make progress towards being able to efficiently compute the novel group action, and give an example of a parameterised family of groups for which the group action can be computed for any parameters, thereby negating the need for expensive offline computation or inclusion of redundancy required in other schemes of this type.

Of the many families of cryptographic schemes proposed to be post-quantum, a relatively unexplored set of examples comes from group-based cryptography. One of the more central schemes from this area is the so-called Semidirect Product Key Exchange (SDPKE), a generalisation of Diffie-Hellman Key Exchange that is plausibly post-quantum. In this report we survey the state of the literature relating to SDPKE, providing a high-level discussion of security, as well as a comprehensive overview of the proposed platforms and the main cryptanalytic ideas relevant to each.

In today’s interconnected world, data has become a valuable asset, leading to a growing interest in protecting it through techniques such as privacy-preserving computation. Two well-known approaches are multi-party computation and homomorphic encryption with use cases such as privacy-preserving machine learning evaluating or training neural networks. For multi-party computation, one of the fundamental arithmetic operations is the secure multiplication in the malicious security model and by extension the multiplication of matrices which is expensive to compute in the malicious model. Transferring the problem of secure matrix multiplication to the homomorphic domain enables savings in communication complexity, reducing the main bottleneck.

In this work, we implement and optimize the homomorphic generation of matrix triples. We provide an open-source implementation for the leveled BGV (Brakerski Gentry Vaikuntanathan) scheme supporting plaintext moduli of arbitrary size using state-of-the-art implementation techniques. We also provide a new, use-case specific approach to parameter generation for leveled BGV-like schemes heuristically optimizing for computation time and taking into account architecture-specific constraints. Finally, we provide an in-depth analysis of the homomorphic circuit enabling the re-use of key switching keys and eliminating constant multiplications, combining our results in an implementation to generate homomorphic matrix triples for arbitrary plaintext moduli.

Our implementation is publicly available and up to $2.1\times$ faster compared to previous work while also providing new time-memory trade-offs for different computing environments. Furthermore, we implement and evaluate additional, use-case specific optimization opportunities such as matrix slicing for the matrix triple generation.

This paper presents a dynamic, real-time approach to detecting anomalous blockchain transactions. The proposed tool, TXRANK, generates tracing representations of blockchain activity and trains from scratch a large language model to act as a real-time Intrusion Detection System. Unlike traditional methods, TXRANK is designed to offer an unrestricted search space and does not rely on predefined rules or patterns, enabling it to detect a broader range of anomalies. We demonstrate the effectiveness of TXRANK through its use as an anomaly detection tool for Ethereum transactions. In our experiments, it effectively identifies abnormal transactions among a dataset of 68M transactions and has a batched throughput of 2284 trans- actions per second on average. Our results show that, TXRANK identifies abnormal transactions by ranking 49 out of 124 attacks among the top-3 most abnormal transactions interacting with their victim contracts. This work makes contributions to the field of blockchain transaction analysis by introducing a custom data encoding compatible with the transformer architecture, a domain-specific tokenization technique, and a tree encoding method specifically crafted for the Ethereum Virtual Machine (EVM) trace representation.