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Improving the Polynomial time Precomputation of Frobenius Representation Discrete Logarithm Algorithms Simplified Setting for Small Characteristic Finite Fields

机译:改进Frobenius表示离散对数算法的多项式时间预测,简化了小特征有限字段的简化设置

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In this paper, we revisit the recent small characteristic discrete logarithm algorithms. We show that a simplified description of the algorithm, together with some additional ideas, permits to obtain an improved complexity for the polynomial time precomputation that arises during the discrete logarithm computation. With our new improvements, this is reduced to O(q~6), where q is the cardinality of the basefield we are considering. This should be compared to the best currently documented complexity for this part, namely O(q~7). With our simplified setting, the complexity of the precomputation in the general case becomes similar to the complexity known for Kummer (or twisted Kummer) extensions.
机译:在本文中,我们重新审视了近期的小特征离散对数算法。我们示出了算法的简化描述以及一些附加思想,允许获得在离散对数计算期间产生的多项式时间预先计算的改进的复杂性。通过我们的新改进,这减少到O(Q〜6),其中Q是我们正在考虑的基本场的基数。这应该与该部分的最佳目前记录的复杂性进行比较,即O(Q〜7)。通过我们的简化设置,常规外壳中的预测性的复杂性变得类似于Kummer(或扭曲Kummer)扩展的复杂性。

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