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May-Ozerov Algorithm for Nearest-Neighbor Problem over F_q and Its Application to Information Set Decoding

机译:F_q上最邻近问题的May-Ozerov算法及其在信息集解码中的应用

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May and Ozerov proposed an algorithm for the nearest-neighbor problem of vectors over the binary field at EUROCRYPT 2015. They applied their algorithm to the decoding problem of random linear codes over the binary field and confirmed the performance improvement. We describe a generalization of their algorithm for vectors over the finite field F_q with arbitrary prime power q. We also apply the generalized algorithm to the decoding problem of random linear codes over F_q. It is observed by our numerical analysis of asymptotic time complexity that the May-Ozerov nearest-neighbor algorithm may not contribute to the performance improvement of the Stern information set decoding over F_q with q ≥ 3.
机译:May和Ozerov在EUROCRYPT 2015上提出了一种针对二进制字段上的向量的最邻近问题的算法。他们将其算法应用于二进制字段上的随机线性码的解码问题,并确认了性能的改进。我们描述了它们在任意素数为q的有限域F_q上的矢量算法的一般化。我们还将广义算法应用于F_q上的随机线性码的解码问题。通过对渐近时间复杂度的数值分析可以看出,May-Ozerov最近邻算法可能对q≥3的F_q上的Stern信息集解码的性能提高没有贡献。

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