A3: Automatic Analysis of Android Malware
Luoshi Zhang, Niu Yan, Wu Zheng Xiao, Zhaoguo Wang, Xue Yibo · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2013
Recently, Android malware is spreading rapidly.Although static or dynamic analysis techniques for detecting Android malware can provide a comprehensive view, it is still subjected to time consuming and high cost in deployment and manual efforts.In this paper, we propose A3, an Automatic Analysis of Android malware, to detect Android malware automatically.Unlike traditional reverse-engineering methods, A3 looks for Command & Control (C&C) Server), monitors the sensitive API invoking, and declares Intent-filter automatically.Then it constructs the relationship graph of the function calls and key contexts or paths for detecting Android malware.The experimental results show that A3 can do an effective automatic analysis for Android malware and has a good performance.