Yiwen Gao, Hailong Zhang, Wei Cheng, Yongbin Zhou, Yuchen Cao
{"title":"基于gpu的AES实现电磁分析","authors":"Yiwen Gao, Hailong Zhang, Wei Cheng, Yongbin Zhou, Yuchen Cao","doi":"10.1145/3195970.3196042","DOIUrl":null,"url":null,"abstract":"In this work, for the first time, we investigate Electro-Magnetic (EM) attacks on GPU-based AES implementation. In detail, we first sample EM traces using a delicate trigger; then, we build a heuristic leakage model and a novel leakage model to exploit the simultaneous EM leakages in parallel scenarios. After that, we evaluate the effectiveness of EM attacks on GPU-based AES implementation. Our evaluation results show that GPU-based AES implementation is vulnerable to EM attacks. This work also suggests that GPU-based AES implementation needs to be protected against EM attacks in real scenarios.","PeriodicalId":6491,"journal":{"name":"2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)","volume":"41 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Electro-Magnetic Analysis of GPU-based AES Implementation\",\"authors\":\"Yiwen Gao, Hailong Zhang, Wei Cheng, Yongbin Zhou, Yuchen Cao\",\"doi\":\"10.1145/3195970.3196042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, for the first time, we investigate Electro-Magnetic (EM) attacks on GPU-based AES implementation. In detail, we first sample EM traces using a delicate trigger; then, we build a heuristic leakage model and a novel leakage model to exploit the simultaneous EM leakages in parallel scenarios. After that, we evaluate the effectiveness of EM attacks on GPU-based AES implementation. Our evaluation results show that GPU-based AES implementation is vulnerable to EM attacks. This work also suggests that GPU-based AES implementation needs to be protected against EM attacks in real scenarios.\",\"PeriodicalId\":6491,\"journal\":{\"name\":\"2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)\",\"volume\":\"41 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3195970.3196042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3195970.3196042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electro-Magnetic Analysis of GPU-based AES Implementation
In this work, for the first time, we investigate Electro-Magnetic (EM) attacks on GPU-based AES implementation. In detail, we first sample EM traces using a delicate trigger; then, we build a heuristic leakage model and a novel leakage model to exploit the simultaneous EM leakages in parallel scenarios. After that, we evaluate the effectiveness of EM attacks on GPU-based AES implementation. Our evaluation results show that GPU-based AES implementation is vulnerable to EM attacks. This work also suggests that GPU-based AES implementation needs to be protected against EM attacks in real scenarios.