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Title:
Automatic Differential Analysis of ARX Block Ciphers with Application to SPECK and LEA
Authors: Ling Song, Zhangjie Huang, Qianqian Yang
Abstract:In this paper, we focus on the automatic differential cryptanalysis of ARX block ciphers with respect to XOR-difference, and develop Mouha et al.'s framework for finding differential characteristics by adding a new method to construct long characteristics from short ones. The new method reduces the searching time a lot and makes it possible to search differential characteristics for ARX block ciphers with large word sizes such as n=48,64. What’s more, we take the differential effect into consideration and find that the differential probability increases by a factor of 1.4\sim 8 for SPECK and about 2^{10} for LEA when multiple characteristics are counted in. The efficiency of our method is demonstrated by improved attacks of SPECK and LEA, which attack 1, 1, 4 and 6 more rounds of SPECK48, SPECK64, SPECK96 and SPECK128, respectively, and 2 more rounds of LEA than previous works.
ePrint: https://eprint.iacr.org/2016/209
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