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On Linear Cryptanalysis with Many Linear Approximations

机译:在线性密码分析,具有许多线性近似

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In this paper we present a theoretical framework to quantify the information brought by several linear approximations of a block-cipher without putting any restriction on these approximations. We quantify here the entropy of the key given the plaintext-ciphertext pairs statistics which is a much more accurate measure than the ones studied earlier. The techniques which are developed here apply to various ways of performing the linear attack and can also been used to measure the entropy of the key for other statistical attacks. Moreover, we present a realistic attack on the full DES with a time complexity of 2~(48) for 2~(41) pairs what is a big improvement comparing to Matsui's algorithm 2 (2~(51.9)).
机译:在本文中,我们介绍了一种理论框架,以量化块密码的几个线性近似的信息,而不会对这些近似进行任何限制。我们在这里量化键的熵给出了纯粹的密文对统计数据,这是比之前研究的更准确的测量。在此开发的技术适用于执行线性攻击的各种方式,并且也可以用于测量用于其他统计攻击的关键的熵。此外,我们对2〜(48)的时间复杂度的完全攻击是2〜(41)对的,与Matsui的算法2相比,什么是与Matsui算法2(2〜(51.9)相比的巨大改进。

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