An Improved Key Mismatch Attack on Kyber

Yaru Wang, Haodong Jiang, Zhi Ma
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Abstract

Recently, American National Institute of Standards and Technology (NIST) announced Kyber as the first KEM candidate to be standardized. The security of Kyber is based on the modular learning with errors (MLWE) problem, which achieves excellent efficiency and size. This work proposes an improved key mismatch on Kyber, which can reduce the number of queries required to recover the secret key. We first transform the problem of finding a certain parameter of ciphertexts into a quantum ordered search problem. Then we give the procedure of finding the value of a parameter in the ciphertexts by the quantum method. Finally, we instantiate this attack method on Kyber512, Kyber768 and Kyber1024. Compared with the existing attack algorithm, our improved attack reduces the number of queries for Kyber512, Kyber768 and Kyber1024 by 63%, 59% and 45%, respectively.
改进的Kyber密钥不匹配攻击
最近,美国国家标准与技术研究所(NIST)宣布Kyber是第一个被标准化的KEM候选。Kyber的安全性基于有误差的模块化学习(MLWE)问题,达到了优异的效率和规模。这项工作提出了一种改进的Kyber密钥不匹配方法,可以减少恢复密钥所需的查询次数。我们首先将寻找某一密文参数的问题转化为量子有序搜索问题。然后给出了用量子方法求密文中某参数值的过程。最后,我们在Kyber512、Kyber768和Kyber1024上实例化了这种攻击方法。与现有的攻击算法相比,改进的攻击算法将Kyber512、Kyber768和Kyber1024的查询次数分别减少了63%、59%和45%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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