{"title":"一种四维超混沌随机数发生器的实验漏洞分析","authors":"Halil İbrahim Kaysici, Salih Ergün","doi":"10.1109/NEWCAS50681.2021.9462750","DOIUrl":null,"url":null,"abstract":"This paper presents a clone system that is deployed to shows the vulnerability of an FPGA based 4-D hyperchaotic random number generator (RNG) that is presented as \"True\" random number generator. The unknown parameter of the target hyperchaotic RNG is uncovered by using auto-synchronization method. Synchronization is achieved by monitoring only one of the state variable for a limited scalar time. Experimental results support the numerical analysis by predicting the next bit of the RNG.","PeriodicalId":373745,"journal":{"name":"2021 19th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Experimental Vulnerability Analysis of a 4-D Hyperchaotic Random Number Generator\",\"authors\":\"Halil İbrahim Kaysici, Salih Ergün\",\"doi\":\"10.1109/NEWCAS50681.2021.9462750\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a clone system that is deployed to shows the vulnerability of an FPGA based 4-D hyperchaotic random number generator (RNG) that is presented as \\\"True\\\" random number generator. The unknown parameter of the target hyperchaotic RNG is uncovered by using auto-synchronization method. Synchronization is achieved by monitoring only one of the state variable for a limited scalar time. Experimental results support the numerical analysis by predicting the next bit of the RNG.\",\"PeriodicalId\":373745,\"journal\":{\"name\":\"2021 19th IEEE International New Circuits and Systems Conference (NEWCAS)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 19th IEEE International New Circuits and Systems Conference (NEWCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEWCAS50681.2021.9462750\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 19th IEEE International New Circuits and Systems Conference (NEWCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEWCAS50681.2021.9462750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Experimental Vulnerability Analysis of a 4-D Hyperchaotic Random Number Generator
This paper presents a clone system that is deployed to shows the vulnerability of an FPGA based 4-D hyperchaotic random number generator (RNG) that is presented as "True" random number generator. The unknown parameter of the target hyperchaotic RNG is uncovered by using auto-synchronization method. Synchronization is achieved by monitoring only one of the state variable for a limited scalar time. Experimental results support the numerical analysis by predicting the next bit of the RNG.
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