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On Non-Monotonicity of the Success Probability in Linear Cryptanalysis
[article]
2018
IACR Cryptology ePrint Archive
Like any other cryptanalytic attack, the success rate of a linear attack is expected to improve as more data becomes available. Bogdanov and Tischhauser (FSE 2013) made the rather surprising claim that the success rate of a linear attack may go down with increasing plaintext amount, after an optimal point. They supported this claim with experimental evidence by an attack on SmallPresent-20. Different explanations have been given to explain this surprising phenomenon. In this note, we give
dblp:journals/iacr/Selcuk18
fatcat:rz2vvx6t6jc65euknuec53rzce