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The Boomerang Attacks on the Round-Reduced Skein-512

Authors: Jiazhe Chen; Jiazhe Chen; Xiaoyun Wang; Xiaoyun Wang; Hongbo Yu;

The Boomerang Attacks on the Round-Reduced Skein-512

Abstract

The hash function Skein is one of the five finalists of the NIST SHA-3 competition. It is based on the block cipher Threefish which only uses three primitive operations: modular addition, rotation and bitwise XOR (ARX). This paper studies the boomerang attacks on Skein-512. Boomerang distinguishers on the compression function reduced to 32 and 36 rounds are proposed, with time complexities 2^104.5 and 2^454 hash computations respectively. Examples of the distinguishers on 28 and 31 rounds are also given. In addition, the boomerang distinguishers are applicable to the key-recovery attacks on reduced Threefish-512. The time complexities for key-recovery attacks reduced to 32-/33-/34-round are about 2^181, 2^305 and 2^424 encryptions. Because the previous boomerang distinguishers for Threefish-512 are in fact not compatible [14], our attacks are the first valid boomerang attacks for the reduced-round Skein-512.

Keywords

Hash function, Skein, Threefish, Boomerang attack, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

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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!
14
Average
Top 10%
Top 10%