Detection of malicious applications on Android OS
作者： Francesco Di Cerbo , Andrea Girardello , Florian Michahelles , Svetlana Voronkova
DOI: 10.1007/978-3-642-19376-7_12
关键词: Computer security 、 Computer security model 、 Mobile device forensics 、 Android (operating system) 、 Mobile operating system 、 Computer science 、 Malware
摘要: The paper presents a methodology for mobile forensics analysis, to detect "malicious" (or "malware") applications, i.e., those that deceive users hiding some of their functionalities. This is specifically targeted the Android operating system, and relies on its security model features, namely set permissions exposed by each application. has been trained more than 13,000 applications hosted Market, collected with AppAware. A case study presented as preliminary validation methodology.
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