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An Android Application Sandbox System for Suspicious Software Detection Thomas Bl sing Leonid Batyuk Aubrey-Derrick Schmidt a Seyit Ahmet Camtepe and Sahin Albayrak Technische Universit t Berlin - DAI-Labor thomas. This makes it harder to detect and react upon malware attacks if using conventional techniques. In this paper we propose an Android Application Sandbox AASandbox which is able to perform both static and dynamic analysis on Android prog.

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