Mix-Basis Geometric Approach to Boomerang Distinguishers

Differential cryptanalysis relies on assumptions like Markov ciphers and 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 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-3- differential framework (IEEE-IT 2024). However, such a straightforward approach is difficult in practical applications as there are too many quasi-3-differential trails.We tackle this problem by applying the mix-basis style geometric approach (CRYPTO 2025) to the boomerang attacks and construct the quasi-boomerang framework. By choosing a suitable pair of bases, the boomerang probability can be computed by summing correlations of quasi-boomerang characteristics. The transition matrix of the key-XOR operation is also a diagonal matrix; thus, the influence of keys can be analyzed in a similar way to the quasi-differential framework.We apply the quasi-boomerang framework to SKINNY-64 and GIFT-64. For SKINNY- 64, we check and confirm 4 boomerang distinguishers with high probability (2 with probability 1 and 2 with probability 2−4) generated from Hadipour, Bagheri, and Song’s tool (ToSC 2021/1), through the analysis of key dependencies and the probability calculation from quasi-boomerang characteristics. We also propose a divide-and-conquer approach following the sandwich framework for boomerangs with small probability or long rounds to apply the quasi-boomerang framework. After checking 2/1 boomerang distinguisher(s) of SKINNY-64/GIFT-64, we find that the previously considered invalid 19-round distinguisher of GIFT-64 is valid.In addition, as a contribution of independent interest, we revisit Boura, Derbez, and Germon’s work by extending the quasi-differential framework to the related-key scenario (ToSC 2025/1), and show an alternative way to derive the same formulas in their paper by regarding the key-XOR as a normal cipher component.

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Publication Details

Journal
IACR Transactions on Symmetric Cryptology
Published
2025-09-25
DOI
https://doi.org/10.46586/tosc.v2025.i3.693-728
Citations
1
Primary Topic
Particle Accelerators and Free-Electron Lasers
Type
article
Field-Weighted Citation Impact
0.73

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article

Mix-Basis Geometric Approach to Boomerang Distinguishers

Muzhou Li, C. S. Wang Chang, Hosein Hadipour, Meiqin Wang et al.
1 citations
IACR Transactions on Symmetric Cryptology
Particle Accelerators and Free-Electron Lasers
0.73
article

Mix-Basis Geometric Approach to Boomerang Distinguishers

Muzhou Li, C. S. Wang Chang, Hosein Hadipour, Meiqin Wang, Kai Hu
article en
1 citations

Abstract

Differential cryptanalysis relies on assumptions like Markov ciphers and 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 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-3- differential framework (IEEE-IT 2024). However, such a straightforward approach is difficult in practical applications as there are too many quasi-3-differential trails.We tackle this problem by applying the mix-basis style geometric approach (CRYPTO 2025) to the boomerang attacks and construct the quasi-boomerang framework. By choosing a suitable pair of bases, the boomerang probability can be computed by summing correlations of quasi-boomerang characteristics. The transition matrix of the key-XOR operation is also a diagonal matrix; thus, the influence of keys can be analyzed in a similar way to the quasi-differential framework.We apply the quasi-boomerang framework to SKINNY-64 and GIFT-64. For SKINNY- 64, we check and confirm 4 boomerang distinguishers with high probability (2 with probability 1 and 2 with probability 2−4) generated from Hadipour, Bagheri, and Song’s tool (ToSC 2021/1), through the analysis of key dependencies and the probability calculation from quasi-boomerang characteristics. We also propose a divide-and-conquer approach following the sandwich framework for boomerangs with small probability or long rounds to apply the quasi-boomerang framework. After checking 2/1 boomerang distinguisher(s) of SKINNY-64/GIFT-64, we find that the previously considered invalid 19-round distinguisher of GIFT-64 is valid.In addition, as a contribution of independent interest, we revisit Boura, Derbez, and Germon’s work by extending the quasi-differential framework to the related-key scenario (ToSC 2025/1), and show an alternative way to derive the same formulas in their paper by regarding the key-XOR as a normal cipher component.

IACR Transactions on Symmetric CryptologyVol. 2025(3)
State Key Laboratory of Cryptology (CN), Shandong University of Science and Technology (CN), Ruhr University Bochum (DE)
Shandong University, National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 23%
Particle Accelerators and Free-Electron Lasers
0.73
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