{"title":"“锤击-权重相关性新测试”的重复计算结果(RCR)报告","authors":"Xiaoliang Wu, Dong Jin","doi":"10.1145/3527583","DOIUrl":null,"url":null,"abstract":"In the paper “A New Test for Hamming-Weight Dependencies”, Blackman and Vigna propose a new statistical test for pseudorandom number generators (PRNG). Compared with the state-of-the-art tests, the proposed test could find statistical bias in the Hamming weights of the output of the generator. The proposed test is evaluated by using generators in TestU01 [2]. The authors provide the C code used in the tests and the code successfully reproduced the results shown in the article.","PeriodicalId":326454,"journal":{"name":"ACM Transactions on Modeling and Computer Simulation (TOMACS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Replicated Computational Results (RCR) Report for “A New Test for Hamming-Weight Dependencies”\",\"authors\":\"Xiaoliang Wu, Dong Jin\",\"doi\":\"10.1145/3527583\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper “A New Test for Hamming-Weight Dependencies”, Blackman and Vigna propose a new statistical test for pseudorandom number generators (PRNG). Compared with the state-of-the-art tests, the proposed test could find statistical bias in the Hamming weights of the output of the generator. The proposed test is evaluated by using generators in TestU01 [2]. The authors provide the C code used in the tests and the code successfully reproduced the results shown in the article.\",\"PeriodicalId\":326454,\"journal\":{\"name\":\"ACM Transactions on Modeling and Computer Simulation (TOMACS)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Modeling and Computer Simulation (TOMACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3527583\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Modeling and Computer Simulation (TOMACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3527583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
Blackman和Vigna在论文《A New Test for hammer - weight Dependencies》中提出了一种新的伪随机数生成器(PRNG)的统计检验方法。与最先进的测试相比，所提出的测试可以在发电机输出的汉明权重中发现统计偏差。通过使用test01[2]中的生成器对所提出的测试进行了评估。作者提供了测试中使用的C代码，该代码成功地复制了文章中显示的结果。
Replicated Computational Results (RCR) Report for “A New Test for Hamming-Weight Dependencies”
In the paper “A New Test for Hamming-Weight Dependencies”, Blackman and Vigna propose a new statistical test for pseudorandom number generators (PRNG). Compared with the state-of-the-art tests, the proposed test could find statistical bias in the Hamming weights of the output of the generator. The proposed test is evaluated by using generators in TestU01 [2]. The authors provide the C code used in the tests and the code successfully reproduced the results shown in the article.
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