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Efficient Computation of Algebraic Immunity for Algebraic and Fast Algebraic Attacks

机译:代数和快速代数攻击的代数免疫有效计算

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摘要

In this paper we propose several efficient algorithms for assessing the resistance of Boolean functions against algebraic and fast algebraic attacks when implemented in LFSR-based stream ciphers. An algorithm is described which permits to compute the algebraic immunity d of a Boolean function with n variables in O(D~2) operations, for D ≈ (_d~n), rather than in O(D~3) operations necessary in all previous algorithms. Our algorithm is based on multivariate polynomial interpolation. For assessing the vulnerability of arbitrary Boolean functions with respect to fast algebraic attacks, an efficient generic algorithm is presented that is not based on interpolation. This algorithm is demonstrated to be particularly efficient for symmetric Boolean functions. As an application it is shown that large classes of symmetric functions are very vulnerable to fast algebraic attacks despite their proven resistance against conventional algebraic attacks.
机译:在本文中,我们提出了几种有效的算法,用于评估布尔函数在基于LFSR的流密码中实现的对代数和快速代数攻击的抵抗力。描述了一种算法,该算法允许在O(D〜2)运算中,对于D≈(_d〜n),而不是在所有运算中必需的O(D〜3)运算中,计算具有n个变量的布尔函数的代数免疫力d以前的算法。我们的算法基于多元多项式插值。为了评估任意布尔函数相对于快速代数攻击的脆弱性,提出了一种不基于插值的有效通用算法。事实证明,该算法对于对称布尔函数特别有效。作为一个应用,表明尽管对称函数对常规代数攻击具有抵抗力,但它们对快速代数攻击非常脆弱。

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