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IEEE Access
Article . 2024 . Peer-reviewed
License: CC BY NC ND
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IEEE Access
Article . 2024
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Higher-Order Differential-Linear Cryptanalysis of ChaCha Stream Cipher

Authors: Nasratullah Ghafoori; Atsuko Miyaji;

Higher-Order Differential-Linear Cryptanalysis of ChaCha Stream Cipher

Abstract

This paper studies the advanced methodologies of differential cryptanalysis with a particular emphasis on higher-order differentials and higher-order differential-linear cryptanalysis, along with their application to the ChaCha stream cipher. The study focuses on the impact of higher-order differential cryptanalysis on different rounds of the ChaCha stream cipher and analyzes how the cipher resists higher-order differential cryptanalysis. Additionally, we apply higher-order differential-linear cryptanalysis to target the reduced rounds of the ChaCha stream cipher, achieving reduced time complexity compared with existing studies. Furthermore, we introduce the first-ever higher-order differential-linear attack on ChaCha 6 and ChaCha 7 with 239.07 and 2135.07 time complexity, respectively. We substantially enhanced the attack complexity by a margin of 211.93 on ChaCha 6 and 231.82 on ChaCha 7. Moreover, for the first time, we report we report significantly larger higher-order differential biases of ChaCha, which were previously unknown for internal rounds beyond 3.5 rounds. Furthermore, this research reveals new linear approximations of certain bits from the 4th to the 6th and 7th rounds, thereby reducing the complexity of the distinguisher attack on the 5.5th, 6th, and 7th rounds of ChaCha.

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Keywords

symmetric cryptography, Higher-order differential cryptanalysis, differential-linear cryptanalysis, Electrical engineering. Electronics. Nuclear engineering, ChaCha, stream cipher, TK1-9971

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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!
1
Average
Average
Average
gold