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This paper proposes a static-dynamic hybrid malware detecting scheme for Android applications. While the static analysis could be defeated by transformation technique sometimes and dynamic analysis needs a high complexity, the suggested methods can automatically deliver an unknown App to static or dynamic analysis path according to whether the Android App can be decompiled(its feature) which overcomes...
Current smartphones are integrated with rich sensors, which provides a good opportunity for the smartphone sensor data mining. By mining these data, we are able to analyze the user's behaviors. This paper describes HARLib, a human activity recognition library on the Android operating system. We use accelerometer built-in smartphone to recognize the user's activities, including walking, running, sitting,...
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