{"title":"Apposcopy: Android恶意软件的自动检测(邀请演讲)","authors":"Yu Feng, Işıl Dillig, Saswat Anand, A. Aiken","doi":"10.1145/2661694.2661697","DOIUrl":null,"url":null,"abstract":"We present Apposcopy, a new semantics-based approach for detecting Android malware that steal private information. Apposcopy incorporates (i) a high-level language for specifying malware signatures and (ii) a static analysis for deciding if a given application matches a given signature. We have evaluated Apposcopy on a corpus of real-world Android applications and show that it can effectively pinpoint malicious applications that belong to certain malware families.","PeriodicalId":318577,"journal":{"name":"Proceedings of the 2nd International Workshop on Software Development Lifecycle for Mobile","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Apposcopy: automated detection of Android malware (invited talk)\",\"authors\":\"Yu Feng, Işıl Dillig, Saswat Anand, A. Aiken\",\"doi\":\"10.1145/2661694.2661697\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present Apposcopy, a new semantics-based approach for detecting Android malware that steal private information. Apposcopy incorporates (i) a high-level language for specifying malware signatures and (ii) a static analysis for deciding if a given application matches a given signature. We have evaluated Apposcopy on a corpus of real-world Android applications and show that it can effectively pinpoint malicious applications that belong to certain malware families.\",\"PeriodicalId\":318577,\"journal\":{\"name\":\"Proceedings of the 2nd International Workshop on Software Development Lifecycle for Mobile\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Workshop on Software Development Lifecycle for Mobile\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2661694.2661697\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Workshop on Software Development Lifecycle for Mobile","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2661694.2661697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Apposcopy: automated detection of Android malware (invited talk)
We present Apposcopy, a new semantics-based approach for detecting Android malware that steal private information. Apposcopy incorporates (i) a high-level language for specifying malware signatures and (ii) a static analysis for deciding if a given application matches a given signature. We have evaluated Apposcopy on a corpus of real-world Android applications and show that it can effectively pinpoint malicious applications that belong to certain malware families.