{"title":"SEDalvik: A Kernel-Level Android Behavior Forensic Method","authors":"Fujia Cheng, Chengxiang Tan","doi":"10.1109/SPAC46244.2018.8965577","DOIUrl":null,"url":null,"abstract":"Android is the mobile operating system with the highest market share, but it comes with the endless malicious code. Behavior forensics has an extremely important role in ensuring application security. However, most of the existing methods of forensic analysis work at the application layer, not universal and easily evaded by anti-forensics mechanisms. Therefore, we propose a behavior forensics method based on source code of Dalvik virtual machine and work at the kernel layer, which effectively improves the versatility and effectiveness of behavior forensics on Android.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAC46244.2018.8965577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Android is the mobile operating system with the highest market share, but it comes with the endless malicious code. Behavior forensics has an extremely important role in ensuring application security. However, most of the existing methods of forensic analysis work at the application layer, not universal and easily evaded by anti-forensics mechanisms. Therefore, we propose a behavior forensics method based on source code of Dalvik virtual machine and work at the kernel layer, which effectively improves the versatility and effectiveness of behavior forensics on Android.