{"title":"fpga在生产系统中的精确表征","authors":"Bardia Babaei, Dirk Koch","doi":"10.1109/FPL57034.2022.00080","DOIUrl":null,"url":null,"abstract":"The deployment of FPGAs in cloud data centers has entailed new security concerns. Although several defensive mechanisms are employed to detect and prevent malicious designs, a health monitoring tool can warn cloud service providers about the failure of implemented defensive fences. This PhD project aims to monitor the health status of internal FPGA resources by performing a precise timing characterization.","PeriodicalId":380116,"journal":{"name":"2022 32nd International Conference on Field-Programmable Logic and Applications (FPL)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Precise Characterizing of FPGAs in Production Systems\",\"authors\":\"Bardia Babaei, Dirk Koch\",\"doi\":\"10.1109/FPL57034.2022.00080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The deployment of FPGAs in cloud data centers has entailed new security concerns. Although several defensive mechanisms are employed to detect and prevent malicious designs, a health monitoring tool can warn cloud service providers about the failure of implemented defensive fences. This PhD project aims to monitor the health status of internal FPGA resources by performing a precise timing characterization.\",\"PeriodicalId\":380116,\"journal\":{\"name\":\"2022 32nd International Conference on Field-Programmable Logic and Applications (FPL)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 32nd International Conference on Field-Programmable Logic and Applications (FPL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPL57034.2022.00080\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 32nd International Conference on Field-Programmable Logic and Applications (FPL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPL57034.2022.00080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Precise Characterizing of FPGAs in Production Systems
The deployment of FPGAs in cloud data centers has entailed new security concerns. Although several defensive mechanisms are employed to detect and prevent malicious designs, a health monitoring tool can warn cloud service providers about the failure of implemented defensive fences. This PhD project aims to monitor the health status of internal FPGA resources by performing a precise timing characterization.