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An Infinite Class of Balanced Functions with Optimal Algebraic Immunity, Good Immunity to Fast Algebraic Attacks and Good Nonlinearity

机译:一种具有最佳代数免疫力的无限均衡功能,良好的抗扰度与快速代数攻击和良好的非线性

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After the improvement by Courtois and Meier of the algebraic attacks on stream ciphers and the introduction of the related notion of algebraic immunity, several constructions of infinite classes of Boolean functions with optimum algebraic immunity have been proposed. All of them gave functions whose algebraic degrees are high enough for resisting the Berlekamp-Massey attack and the recent Ronjom-Helleseth attack, but whose nonlinearities either achieve the worst possible value (given by Lobanov's bound) or are slightly superior to it. Hence, these functions do not allow resistance to fast correlation attacks. Moreover, they do not behave well with respect to fast algebraic attacks. In this paper, we study an infinite class of functions which achieve an optimum algebraic immunity. We prove that they have an optimum algebraic degree and a much better nonlinearity than all the previously obtained infinite classes of functions. We check that, at least for small values of the number of variables, the functions of this class have in fact a very good nonlinearity and also a good behavior against fast algebraic attacks.
机译:通过Constois和Meier对流密码的代数攻击和引入代数免疫相关概念的改善之后,已经提出了几种具有最佳代数免疫力的无限类布尔函数的若干结构。所有这些都给出了其代数程度足够高的函数,以抵抗Berlekamp-Massey攻击和最近的ronjom-helleheth攻击,而是达到最糟糕的价值(由洛巴诺夫的界定)或者略微优于它。因此,这些功能不允许抵抗快速相关攻击。此外,它们对快速代数攻击并不表现良好。在本文中,我们研究了一种无限类功能,实现了最佳的代数免疫力。我们证明它们具有最佳的代数度和比以前获得的无限职能的所有非线性更好的非线性。我们检查,至少对于变量数量的小值,本课程的功能实际上是一个非常好的非线性,并且对快速代数攻击的良好行为也是一个很好的行为。

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