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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计算:小特征有限域的简化设置

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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,我们将回顾最近的小特征离散对数算法。我们表明,对该算法的简化描述以及一些其他想法,可以为离散对数计算过程中出现的多项式时间预计算获得改进的复杂度。通过我们的新改进,该值降低为O(q〜6),其中q是我们正在考虑的基场的基数。这应该与该部分目前记录的最佳复杂度O(q〜7)进行比较。通过我们简化的设置,一般情况下预计算的复杂度变得类似于Kummer(或扭曲的Kummer)扩展名的复杂度。

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