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A Crossbred Algorithm for Solving Boolean Polynomial Systems

机译:求解布尔多项式系统的杂交算法

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摘要

We consider the problem of solving multivariate systems of Boolean polynomial equations: starting from a system of m polynomials of degree at most d in n variables, we want to find its solutions over F_2. Except for d = 1, the problem is known to be NP-hard, and its hardness has been used to create public cryptosystems; this motivates the search for faster algorithms to solve this problem. After reviewing the state of the art, we describe a new algorithm and show that it outperforms previously known methods in a wide range of relevant parameters. In particular, the first named author has been able to solve all the Fukuoka Type I MQ challenges, culminating with the resolution of a system of 148 quadratic equations in 74 variables in less than a day (and with a lot of luck).
机译:我们考虑解决布尔多项式方程的多元系统的问题:从n个变量中最多d个d的m个多项式的系统开始,我们想在F_2上找到它的解。除了d = 1之外,已知该问题是NP困难的,其硬度已用于创建公共密码系统。这促使人们寻求更快的算法来解决该问题。在回顾了现有技术之后,我们描述了一种新算法,并表明它在广泛的相关参数方面优于先前已知的方法。特别是,第一位作者能够解决所有Fukuoka I类MQ难题,并最终在不到一天的时间内(包括很多运气)解决了由148个二次方程式组成的74个变量的系统。

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  • 来源
  • 会议地点 Warsaw(PL)
  • 作者

    Antoine Joux; Vanessa Vitse;

  • 作者单位

    Chaire de Cryptologie de la Fondation de l'UPMC, Sorbonne Universites, UPMC Univ Paris 06, CNRS, LIP6 UMR 7606, Paris, France;

    Institut Fourier, Universite Grenoble-Alpes, Grenoble, France;

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  • 正文语种 eng
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