Paper 2024/298

New Models for the Cryptanalysis of ASCON

Mathieu Degré, Univ Rennes, Inria, CNRS, IRISA
Patrick Derbez, Univ Rennes, Inria, CNRS, IRISA
Lucie Lahaye, École Normale Supérieure de Lyon
André Schrottenloher, Univ Rennes, Inria, CNRS, IRISA
Abstract

This paper focuses on the cryptanalysis of the ASCON family using automatic tools. We analyze two different problems with the goal to obtain new modelings, both simpler and less computationally heavy than previous works (all our models require only a small amount of code and run on regular desktop computers). The first problem is the search for Meet-in-the-middle attacks on reduced-round ASCON-Hash. Starting from the MILP modeling of Qin et al. (EUROCRYPT 2023 & ePrint 2023), we rephrase the problem in SAT, which accelerates significantly the solving time and removes the need for the ``weak diffusion structure'' heuristic. This allows us to reduce the memory complexity of Qin et al.'s attacks and to prove some optimality results. The second problem is the search for lower bounds on the probability of differential characteristics for the ASCON permutation. We introduce a lossy MILP encoding of the propagation rules based on the Hamming weight, in order to find quickly lower bounds which are comparable to the state of the art. We find a small improvement over the existing bound on 7 rounds.

Metadata
Available format(s)
PDF
Category
Attacks and cryptanalysis
Publication info
Preprint.
Keywords
ASCONMITM AttacksDifferential CryptanalysisMILPSAT
Contact author(s)
mathieu degre @ inria fr
patrick derbez @ irisa fr
lucie lahaye @ ens-lyon fr
andre schrottenloher @ inria fr
History
2024-02-23: approved
2024-02-21: received
See all versions
Short URL
https://ia.cr/2024/298
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2024/298,
      author = {Mathieu Degré and Patrick Derbez and Lucie Lahaye and André Schrottenloher},
      title = {New Models for the Cryptanalysis of {ASCON}},
      howpublished = {Cryptology {ePrint} Archive, Paper 2024/298},
      year = {2024},
      url = {https://eprint.iacr.org/2024/298}
}
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