A Hybrid Malware Detecting Scheme for Mobile Android Applications

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 both weakness. The experimental results show that the suggested scheme is effective as its detection accuracy can achieve to 93.33%similar to 99.28%.