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18-06-2024

Multivariate correlation attacks and the cryptanalysis of LFSR-based stream ciphers

Authors: Isaac A. Canales-Martínez, Igor Semaev

Published in: Designs, Codes and Cryptography | Issue 11/2024

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Abstract

The article explores the vulnerabilities of Linear Feedback Shift Register (LFSR)-based stream ciphers to key recovery attacks. It introduces a new method for cryptanalysis that employs multivariate correlation attacks and generalizes the concept of parity-checks used in Fast Correlation Attacks (FCAs). The method is designed to solve systems of linear equations with associated probability distributions, aiming to recover the initial state of the LFSR with higher efficiency. The authors present a test-and-extend algorithm that significantly reduces the time complexity of the attack compared to traditional FCA methods. The article also applies this new method to hard instances of the filter generator and the Grain-v1 cipher, demonstrating its effectiveness in requiring fewer keystream bits for key recovery while outperforming existing attacks in terms of computational efficiency. Additionally, the authors find linear approximations with higher correlation for Grain-v1, showcasing the potential of their method to improve cryptanalysis techniques for stream ciphers.
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Metadata
Title
Multivariate correlation attacks and the cryptanalysis of LFSR-based stream ciphers
Authors
Isaac A. Canales-Martínez
Igor Semaev
Publication date
18-06-2024
Publisher
Springer US
Published in
Designs, Codes and Cryptography / Issue 11/2024
Print ISSN: 0925-1022
Electronic ISSN: 1573-7586
DOI
https://doi.org/10.1007/s10623-024-01444-4

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