{"title":"相关功率分析法在噪声条件下的侧信道攻击性能","authors":"Fikret Garipay, Kemal Uzgören, İsmail Kaya","doi":"10.59035/uwcb7557","DOIUrl":null,"url":null,"abstract":"This article explores the use of artificial noise to defend against power analysis and power analysis-based side-channel attacks on AES encryption. The study covers both hardware and open-source software components for performing power analysis and provides an analysis of attack performance. It also explains how security measures against side-channel attacks can be implemented without disrupting system operation.","PeriodicalId":42317,"journal":{"name":"International Journal on Information Technologies and Security","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Side channel attack performance of correlation power analysis method in noise\",\"authors\":\"Fikret Garipay, Kemal Uzgören, İsmail Kaya\",\"doi\":\"10.59035/uwcb7557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article explores the use of artificial noise to defend against power analysis and power analysis-based side-channel attacks on AES encryption. The study covers both hardware and open-source software components for performing power analysis and provides an analysis of attack performance. It also explains how security measures against side-channel attacks can be implemented without disrupting system operation.\",\"PeriodicalId\":42317,\"journal\":{\"name\":\"International Journal on Information Technologies and Security\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal on Information Technologies and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.59035/uwcb7557\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Information Technologies and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59035/uwcb7557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Side channel attack performance of correlation power analysis method in noise
This article explores the use of artificial noise to defend against power analysis and power analysis-based side-channel attacks on AES encryption. The study covers both hardware and open-source software components for performing power analysis and provides an analysis of attack performance. It also explains how security measures against side-channel attacks can be implemented without disrupting system operation.
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