2013 · 70 citations · 25 references
ComputingComputer ScienceCybersecurityComputer SecurityMobile ComputingMobile SecurityBehavioral AnalysisMalware ClassificationMobile Device SecurityAndroid Malware ClassificationMachine Learning For Malware ClassificationMalicious App ClassificationMalicious App DetectionMalicious Behavior AnalysisMobile MalwareMobile Malware DetectionPermission-based Classification
Malware for smart phones is rapidly spreading out. This paper proposes a method for detecting malware based on three metrics, which evaluate: the occurrences of a specific subset of system calls, a weighted sum of a subset of permissions that the application required, and a set of combinations of permissions. The experimentation carried out suggests that these metrics are promising in detecting malware, but further improvements are needed to increase the quality of detection.
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