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Zero-Correlation Attacks on Tweakable Block Ciphers with Linear Tweakey Expansion

Authors: Ralph Ankele; Christoph Dobraunig; Jian Guo 0001; Eran Lambooij; Gregor Leander; Yosuke Todo;

Zero-Correlation Attacks on Tweakable Block Ciphers with Linear Tweakey Expansion

Abstract

The design and analysis of dedicated tweakable block ciphers is a quite recent and very active research field that provides an ongoing stream of new insights. For instance, results of Kranz, Leander, and Wiemer from FSE 2017 show that the addition of a tweak using a linear tweak schedule does not introduce new linear characteristics. In this paper, we consider – to the best of our knowledge – for the first time the effect of the tweak on zero-correlation linear cryptanalysis for ciphers that have a linear tweak schedule. It turns out that the tweak can often be used to get zero-correlation linear hulls covering more rounds compared to just searching zero-correlation linear hulls on the data-path of a cipher. Moreover, this also implies the existence of integral distinguishers on the same number of rounds. We have applied our technique on round reduced versions of Qarma, Mantis, and Skinny. As a result, we can present – to the best of our knowledge – the best attack (with respect to number of rounds) on a round-reduced variant of Qarma.

Countries
Singapore, Netherlands
Keywords

Computer engineering. Computer hardware, 330, Symmetric-key cryptography, zero-correlation, Mantis, secret-key cryptography / Symmetric-key cryptography, tweakable block ciphers, zero-correlation, integral cryptanalysis, Qarma, Mantis, Skinny, 004, integral cryptanalysis, TK7885-7895, tweakable block ciphers, :Science::Mathematics [DRNTU], Tweakable Block Ciphers, Digital Security, DRNTU::Science::Mathematics, Qarma, Symmetric-Key Cryptography, Skinny

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selected citations
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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).
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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!
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