{"title":"基于t码的随机检验","authors":"Kenji Hamano, Hirosuke Yamamoto","doi":"10.1109/ISITA.2008.4895570","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":338675,"journal":{"name":"2008 International Symposium on Information Theory and Its Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A randomness test based on T-codes\",\"authors\":\"Kenji Hamano, Hirosuke Yamamoto\",\"doi\":\"10.1109/ISITA.2008.4895570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":338675,\"journal\":{\"name\":\"2008 International Symposium on Information Theory and Its Applications\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Information Theory and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISITA.2008.4895570\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Information Theory and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITA.2008.4895570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.