Android Malware Detection: an Eigenspace Analysis Approach

27 Jul 2016 Suleiman Y. Yerima Sakir Sezer Igor Muttik

The battle to mitigate Android malware has become more critical with the emergence of new strains incorporating increasingly sophisticated evasion techniques, in turn necessitating more advanced detection capabilities. Hence, in this paper we propose and evaluate a machine learning based approach based on eigenspace analysis for Android malware detection using features derived from static analysis characterization of Android applications... (read more)

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