{"title":"伪随机数生成器统计检验的优化","authors":"I. Chugunkov, A. O. Prokofiev, P. A. Strelchenko","doi":"10.1109/EICONRUSNW.2016.7448151","DOIUrl":null,"url":null,"abstract":"This paper discusses the efficiency of statistical tests for evaluating of pseudorandom number generators. We present the method to reduce a number of false negatives for pseudorandom sequences testing. We discuss this method applicability for specific tests and provide calculations of confidence intervals based on the tests significance. Also we describe the approach based on the calculation of the number of absences. It reduces the memory requirements for the tests implementation.","PeriodicalId":262452,"journal":{"name":"2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The optimization of statistical tests for pseudorandom number generators\",\"authors\":\"I. Chugunkov, A. O. Prokofiev, P. A. Strelchenko\",\"doi\":\"10.1109/EICONRUSNW.2016.7448151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the efficiency of statistical tests for evaluating of pseudorandom number generators. We present the method to reduce a number of false negatives for pseudorandom sequences testing. We discuss this method applicability for specific tests and provide calculations of confidence intervals based on the tests significance. Also we describe the approach based on the calculation of the number of absences. It reduces the memory requirements for the tests implementation.\",\"PeriodicalId\":262452,\"journal\":{\"name\":\"2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EICONRUSNW.2016.7448151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EICONRUSNW.2016.7448151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The optimization of statistical tests for pseudorandom number generators
This paper discusses the efficiency of statistical tests for evaluating of pseudorandom number generators. We present the method to reduce a number of false negatives for pseudorandom sequences testing. We discuss this method applicability for specific tests and provide calculations of confidence intervals based on the tests significance. Also we describe the approach based on the calculation of the number of absences. It reduces the memory requirements for the tests implementation.