锤击-权重依赖关系的新测试

IF 0.7 4区计算机科学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

ACM Transactions on Modeling and Computer Simulation Pub Date : 2022-07-25 DOI:https://dl.acm.org/doi/10.1145/3527582

David Blackman, Sebastiano Vigna

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引用次数: 0

摘要

我们描述了伪随机数生成器(prng)的一个新的统计检验。我们的测试可以发现由PRNG输出的汉明权重之间的依赖关系引起的偏差，即使对于通过文献中同类最先进测试的PRNG，特别是基于f2线性变换的生成器，如dSFMT [22]， xoroshiro1024+[1]和WELL512[19]。

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A New Test for Hamming-Weight Dependencies

We describe a new statistical test for pseudorandom number generators (PRNGs). Our test can find bias induced by dependencies among the Hamming weights of the outputs of a PRNG, even for PRNGs that pass state-of-the-art tests of the same kind from the literature, and particularly for generators based on F₂-linear transformations such as the dSFMT [22], xoroshiro1024+ [1], and WELL512 [19].

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来源期刊

ACM Transactions on Modeling and Computer Simulation 工程技术-计算机：跨学科应用

CiteScore

2.50

自引率

22.20%

发文量

审稿时长

>12 weeks

期刊介绍： The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods. The use of simulation techniques is pervasive, extending to virtually all the sciences. TOMACS serves to enhance the understanding, improve the practice, and increase the utilization of computer simulation. Submissions should contribute to the realization of these objectives, and papers treating applications should stress their contributions vis-á-vis these objectives.