{"title":"使用现有硬件服务进行恶意软件检测","authors":"Sarat Kompalli","doi":"10.1109/SPW.2014.49","DOIUrl":null,"url":null,"abstract":"The paper is divided into two sections. First, we describe our experiments in using hardware-based metrics such as those collected by the BPU and MMU for detection of malware activity at runtime. Second, we sketch a defense-in-depth security model that combines such detection with hardware-aided proof-carrying code and input validation.","PeriodicalId":142224,"journal":{"name":"2014 IEEE Security and Privacy Workshops","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Using Existing Hardware Services for Malware Detection\",\"authors\":\"Sarat Kompalli\",\"doi\":\"10.1109/SPW.2014.49\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper is divided into two sections. First, we describe our experiments in using hardware-based metrics such as those collected by the BPU and MMU for detection of malware activity at runtime. Second, we sketch a defense-in-depth security model that combines such detection with hardware-aided proof-carrying code and input validation.\",\"PeriodicalId\":142224,\"journal\":{\"name\":\"2014 IEEE Security and Privacy Workshops\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Security and Privacy Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPW.2014.49\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Security and Privacy Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPW.2014.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Existing Hardware Services for Malware Detection
The paper is divided into two sections. First, we describe our experiments in using hardware-based metrics such as those collected by the BPU and MMU for detection of malware activity at runtime. Second, we sketch a defense-in-depth security model that combines such detection with hardware-aided proof-carrying code and input validation.
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