利用遗传算法寻找Hamsi-256压缩函数的近碰撞

Yun-qiang Li, Ai-lan Wang
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引用次数: 4

摘要

Hamsi是NIST未来哈希标准SHA-3的哈希竞赛中剩下的14个候选者之一,Hamsi-256是四种Hamsi中的一种。本文提出了一种搜索Hamsi-256压缩函数的近碰撞的遗传算法,给出了(256 - 20)位的近碰撞和(256 - 21)位的近碰撞,它们的链值有4个不同,得到了Hamsi-256三轮的微分路径,其概率分别为2−24和2−23,优于前人关于近碰撞的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using genetic algorithm to find near collisions for the compress function of Hamsi-256
Hamsi is one of 14 remaining candidates in NIST's Hash Competition for the future hash standard SHA-3 and Hamsi-256 is one of four kinds of Hamsi. In this paper we present a genetic algorithm to search near collisions for the compress function of Hamsi-256, give a near collision on (256 - 20) bits and a near collision on (256 - 21) bits with four differences in the chaining value, and obtain a differential path for three rounds of Hamsi-256 with probability 2−24, 2−23 respectively, which are better than previous work reported about near collisions.
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