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Faster Algorithms for Isogeny Problems Using Torsion Point Images

机译:使用扭转点图像的issogeny问题更快的算法

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There is a recent trend in cryptography to construct protocols based on the hardness of computing isogenies between supersingular elliptic curves. Two prominent examples are Jao-De Feo's key exchange protocol and the resulting encryption scheme by De Feo-Jao-Plut. One particularity of the isogeny problems underlying these protocols is that some additional information is given as input, namely the image of some torsion points with order coprime to the isogeny. This additional information was used in several active attacks against the protocols but the current best passive attacks make no use of it at all. In this paper, we provide new algorithms that exploit the additional information provided in isogeny protocols to speed up the resolution of the underlying problems. Our techniques lead to heuristic polynomial-time key recovery on two non-standard variants of De Feo-Jao-Plut's protocols in plausible attack models. This shows that at least some isogeny problems are easier to solve when additional information is leaked.
机译:最近的密码术趋势基于超椭圆​​曲线之间计算中生成的硬度构建协议。两个突出的例子是Jao-de Feo的关键交换协议以及De Feo-Jao-Plut的加密方案。这些协议下面的基因发生问题的一个特殊性是将一些附加信息作为输入给出,即具有对Isogeny命令的一些扭转点的图像。此附加信息用于对协议的几种主动攻击,但目前的最佳被动攻击根本不使用它。在本文中,我们提供了新的算法,用于利用Isogeny协议中提供的附加信息,以加快潜在问题的解决。我们的技术导致了在合理的攻击模型中两种非标准变体的启发式多项式恢复。这表明,当附加信息泄露时,至少一些基因的问题更容易解决。

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