Quantum Linearization Attacks - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

Quantum Linearization Attacks

Résumé

Recent works have shown that quantum period-finding can be used to break many popular constructions (some block ciphers such as Even-Mansour, multiple MACs and AEs.. .) in the superposition query model. So far, all the constructions broken exhibited a strong algebraic structure, which enables to craft a periodic function of a single input block. Recovering the secret period allows to recover a key, distinguish, break the confidentiality or authenticity of these modes. In this paper, we introduce the quantum linearization attack, a new way of using Simon's algorithm to target MACs in the superposition query model. Specifically, we use inputs of multiple blocks as an interface to a function hiding a linear structure. Recovering this structure allows to perform forgeries. We also present some variants of this attack that use other quantum algorithms, which are much less common in quantum symmetric cryptanalysis: Deutsch's, Bernstein-Vazirani's, and Shor's. To the best of our knowledge, this is the first time these algorithms have been used in quantum forgery or key-recovery attacks. Our attack breaks many parallelizable MACs such as LightMac, PMAC, and numerous variants with (classical) beyond-birthday-bound security (LightMAC+, PMAC+) or using tweakable block ciphers (ZMAC). More generally, it shows that constructing parallelizable quantum-secure PRFs might be a challenging task.
Fichier principal
Vignette du fichier
linearization.pdf (492.03 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03516730 , version 1 (07-01-2022)

Identifiants

Citer

Xavier Bonnetain, Gaëtan Leurent, María Naya-Plasencia, André Schrottenloher. Quantum Linearization Attacks. ASIACRYPT 2021 - 27th Annual International Conference on the Theory and Application of Cryptology and Information Security, Dec 2021, Singapore / Virtual, Singapore. pp.422-452, ⟨10.1007/978-3-030-92062-3_15⟩. ⟨hal-03516730⟩
72 Consultations
221 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More