ACM SIGAPP Applied Computing Review · 2016 · 22 citations · 31 references
ComputingCloud ComputingComputer ScienceMalware AnalysisMobile ComputingMobile SecurityApplication SandboxingMobile Application DevelopmentMobile Device SecurityAndroid Application AnalysisAndroid Application SandboxingAndroid Malware AnalysisCloud Malware AnalysisMalicious App DetectionMalware DetectionMobile MalwareMobile Malware Detection
As mobile malware have increased in number and sophistication, it has become pertinent for users to have tools that can inform them of potentially malicious applications. To fulfill this need, we develop a cloud-based malware analysis service called ScanMe Mobile, for the Android platform. The objective of this service is to provide users with detailed information about Android Application Package (APK) files before installing them on their devices. With ScanMe Mobile, users are able to upload APK files from their device SD card, scan the APK in the malware detection system that could be deployed in the cloud, compile a comprehensive report, and store or share the report by publishing it to the website. ScanMe Mobile works by running the APK in a virtual sandbox to generate permission data, and analyzes the result in the machine learning detection system. Through our experimental results, we demonstrate that the proposed system can effectively detect malware on the Android platform.
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