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Automatic Differential Analysis of ARX Block Ciphers with Application to SPECK and LEA

机译:ARX分组密码的自动差分分析及其在SPECK和LEA中的应用

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In this paper, we focus on the automatic differential crypt-analysis 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 4 ~ 16 for SPECK and more than 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.
机译:在本文中,我们着眼于ARX分组密码关于XOR差的自动差分加密分析,并开发了Mouha等人的框架,通过添加一种新方法来从短字符构造长特征来找到差分特征。新方法大大减少了搜索时间,并使得可以搜索具有大字长(例如n = 48,64)的ARX分组密码的差分特性。此外,考虑到微分效应,当考虑到多个特征时,SPECK的微分概率增加了4〜16倍,LEA的微分概率增加了2〜(10)倍。证明了我们方法的效率通过改进SPECK和LEA的攻击,与以前的工作相比,分别攻击了SPECK48,SPECK64,SPECK96和SPECK128多1轮,1轮,4轮和6轮,以及LEA的2轮。

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