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On the Data Complexity of Statistical Attacks Against Block Ciphers

Journal article published in 2009 by Céline Blondeau, Benoît Gérard
This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

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Abstract

18 pages ; Many attacks on iterated block ciphers rely on statistical considerations using plaintext/ciphertext pairs to distinguish some part of the cipher from a random permutation. We provide here a simple formula for estimating the amount of plaintext/ciphertext pairs which is needed for such distinguishers and which applies to a lot of different scenarios (linear cryptanalysis, differentiallinear cryptanalysis, differential/truncated differential/impossible differential cryptanalysis). The asymptotic data complexities of all these attacks are then derived. Moreover, we give an efficient algorithm for computing the data complexity accurately.