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https://doi.org/10.1007/978-3-...
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Truncated Boomerang Attacks and Application to AES-Based Ciphers

Authors: Bariant, Augustin; Leurent, Gaëtan;

Truncated Boomerang Attacks and Application to AES-Based Ciphers

Abstract

The boomerang attack is a cryptanalysis technique that combines two short differentials instead of using a single long differential. It has been applied to many primitives, and results in the best known attacks against several AES-based ciphers (Kiasu-BC, Deoxys-BC). In this paper, we introduce a general framework for boomerang attacks with truncated differentials. We show that the use of truncated differentials provides a significant improvement over the best boomerang attacks in the literature. In particular, we take into account structures on the plaintext and ciphertext sides, and include an analysis of the key recovery step. On 6-round AES, we obtain a competitive structural distinguisher with complexity 2 87 and a key recovery attack with complexity 2 61. The truncated boomerang attack is particularly effective against tweakable AES variants. We apply it to 8-round Kiasu-BC, resulting in the best known attack with complexity 2 83 (rather than 2 103). We also show an interesting use of the 6-round distinguisher on the full TNT-AES, a tweakable block-cipher using 6-round AES as a building block. Finally, we apply this framework to Deoxys-BC, using a MILP model to find optimal trails automatically. We obtain the best attacks against round-reduced versions of all variants of Deoxys-BC.

Keywords

AES, Deoxys, Truncated differential, Kiasu, Boomerang attack, TNT-AES, MILP, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
Green
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