Paper 2020/1402 Original: eprint.iacr.org/2020/1402 ↗

SKINNY with Scalpel - Comparing Tools for Differential Analysis

Stéphanie Delaune
Patrick Derbez
Paul Huynh
Marine Minier
Victor Mollimard
Charles Prud'homme
Abstract

Evaluating resistance of ciphers against differential cryptanalysis is essential to define the number of rounds of new designs and to mount attacks derived from differential cryptanalysis. In this paper, we compare existing automatic tools to find the best differential characteristic on the SKINNY block cipher. As usually done in the literature, we split this search in two stages denoted by Step 1 and Step 2. In Step 1, each difference variable is abstracted with a Boolean variable and we search for the value that minimizes the trail weight, whereas Step 2 tries to instantiate each difference value while maximizing the overall differential characteristic probability. We model Step 1 using a MILP tool, a SAT tool, an ad-hoc method and a CP tool based on the Choco-solver library and provide performance results. Step 2 is modeled using the Choco-solver as it seems to outperform all previous methods on this stage. Notably, for SKINNY-128 in the SK model and for 13 rounds, we retrieve the results of Abdelkhalek et al. within a few seconds (to compare with 16 days) and we provide, for the first time, the best differential related-tweakey characteristic up to respectively 14 and 12 rounds for the TK1 and TK2 models.

Metadata
Available format(s)
PDF
Category
Secret-key cryptography
Publication info
Preprint.
History
2020-11-15: last updated
2020-11-15: published
Short URL
https://ia.cr/2020/1402
License
https://creativecommons.org/licenses/by/4.0/

BibTeX

@misc{cryptoeprint:2020/1402,
      author = {Stéphanie Delaune and Patrick Derbez and Paul Huynh and Marine Minier and Victor Mollimard and Charles Prud'homme},
      title = {SKINNY with Scalpel - Comparing Tools for Differential Analysis},
      howpublished = {Cryptology {ePrint} Archive, Paper 2020/1402},
      year = {2020},
      url = {https://eprint.iacr.org/2020/1402}
}
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