Abstract

Nowadays, handheld devices have become popular but volume of malwares on mobile platform has also grown rapidly. To detect mobile malware, static approaches and dynamic approaches are two common ways used to analyze suspicious applications. Dynamic approaches detect malware base on the actual behaviors of applications, but how to trigger malicious behavior and the efficient of dynamic approaches are the difficulties of this kind of approaches. Due to the limited resource of mobile devices, static analysis approach is the practicable way to detect malwares on mobile device. Anti-virus software is the typical paradigm of static analysis approach. However, the effectiveness of Anti-virus software rely on its signatures. How to find an efficient and automatic way to build thread pattern of mobile malware is a critical issue to detect new or zero-day malware.

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