Yiwen Gao, Hailong Zhang, Wei Cheng, Yongbin Zhou, Yuchen Cao
{"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}
引用次数: 17
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.