Paper 2025/402
Mix-Basis Geometric Approach to Boomerang Distinguishers
Abstract
Differential cryptanalysis relies on assumptions like \textit{Markov ciphers} and \textit{hypothesis of stochastic equivalence}. The probability of a differential characteristic estimated by classical methods is the key-averaged probability under the two assumptions. However, the real probability can vary significantly between keys. Hence, tools for differential cryptanalysis in the fixed-key model are desirable. Recently, Beyne and Rijmen applied the geometric approach to differential cryptanalysis and proposed a systematic framework called \textit{quasi-differential} (CRYPTO 2022).
As a variant of differential cryptanalysis, boomerang attacks rely on similar assumptions, so it is important to study their probability in the fixed-key model as well. A direct extension of the quasi-differential for boomerang attacks leads to the quasi-
Metadata
- Available format(s)
-
PDF
- Category
- Secret-key cryptography
- Publication info
- Preprint.
- Keywords
- BoomerangFixed-KeyMix-BasisGeometric Approach
- Contact author(s)
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chengcheng chang @ mail sdu edu cn
Hossein Hadipour @ ruhr-uni-bochum de
kai hu @ sdu edu cn
muzhouli @ mail sdu edu cn
mqwang @ sdu edu cn - History
- 2025-06-03: last of 2 revisions
- 2025-03-03: received
- See all versions
- Short URL
- https://ia.cr/2025/402
- License
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CC BY
BibTeX
@misc{cryptoeprint:2025/402, author = {Chengcheng Chang and Hosein Hadipour and Kai Hu and Muzhou Li and Meiqin Wang}, title = {Mix-Basis Geometric Approach to Boomerang Distinguishers}, howpublished = {Cryptology {ePrint} Archive, Paper 2025/402}, year = {2025}, url = {https://eprint.iacr.org/2025/402} }