Cryptology ePrint Archive: Report 2017/204

Linear Cryptanalysis Using Low-bias Linear Approximations

Tomer Ashur, DaniŽl Bodden, and Orr Dunkelman

Abstract: This paper deals with linear approximations having absolute bias smaller than $2^{-\frac{n}{2}}$ which were previously believed to be unusable for a linear attack. We show how a series of observations which are individually not statistically significant can be used to create a $\chi^2$ distinguisher. This is different from previous works which combined a series of significant observations to reduce the data complexity of a linear attack. We test the distinguisher on a real-world cipher and show that it can be used to improve previous results.

Category / Keywords: secret-key cryptography / Linear cryptanalysis, Multiple linear cryptanalysis, Multi-key linear cryptanalysis, Speck

Date: received 28 Feb 2017, last revised 28 Feb 2017

Contact author: tashur at esat kuleuven be

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Version: 20170301:001638 (All versions of this report)

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