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Improved Fast Correlation Attacks on Stream Ciphers via Convolutional Codes

机译:通过卷积码改进对流密码的快速相关攻击

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摘要

This paper describes new methods for fast correlation at-tacks, based onthe theory of convolutional codes. They can be applied to arbitrary LFSR feedback polynomials, in opposite to the previous methods, which mainly focus on feedback polynomials of low weight. The results improve significantly the few previous results for this general case, and are in many cases comparable with corresponding results for low weight feedback polynomials.
机译:本文基于卷积码理论描述了快速相关攻击的新方法。与以前的方法相反,它们可以应用于任意LFSR反馈多项式,后者主要关注轻量级的反馈多项式。该结果大大改善了该一般情况的先前结果,并且在许多情况下可与低权重反馈多项式的相应结果进行比较。

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