基于t码的随机检验

Kenji Hamano, Hirosuke Yamamoto
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引用次数: 13

摘要

本文提出了一种基于t码复杂度的随机检验方法,t码是Titchener在1984年引入的变长自同步码。所提出的测试可以用来代替Lempel-Ziv压缩测试,后者从NIST统计测试套件中删除,因为lz -复杂度有一个缺陷,即对于长度为106的随机序列,其p值的分布是严格离散的。结果表明,对于相同序列,t复杂度具有几乎理想的连续p值分布。为了计算t复杂度,本文还提出了一种新的t分解算法,在原t分解算法使用后向解析的基础上,实现对给定序列的前向解析。此外,所提出的随机性测试可以检测到NIST统计测试套件无法检测到的不需要的伪随机数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A randomness test based on T-codes
In this paper, a new randomness test is proposed based on the T-complexity of a T-code, which is a variable-length self-synchronizing code introduced by Titchener in 1984. The proposed test can be used instead of the Lempel-Ziv compression test, which was removed from the NIST statistical test suite because the LZ-complexity has a defect such that its distribution of P-values is strictly discrete for random sequences of length 106. We show that T-complexity has almost ideal continuous distribution of P-values for the same sequences. In order to calculate T-complexity, a new T-decomposition algorithm is also proposed to realize forward parsing for a given sequence although the original T-decomposition uses backward parsing. Furthermore, it is shown that the proposed randomness test can detect undesirable pseudorandom numbers that the NIST statistical test suite cannot detect.
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