Chatting Application Monitoring on Android System and its Detection based on the Correlation Test

Mobile phones are playing an important roles in our modern digital society, which have already replaced the traditional computer in many situations. Nevertheless, the number of malicious software also starts to grow and showed significant impact on our legal use. Among several mobile systems, the Android platform is currently the most widely used and open system, which also makes it a very attractive target for the malicious applications. User privacy is of great interest to many different agents, which becomes of the most valuable target for the malware, and the chatting software naturally become one of the richest information resource target. In this paper, we first investigate the core techniques that are used by the most monitoring softwares. Then we propose several correlation experiments to efficiently detect the those softwares. We developed a monitoring prototype as well as the detecting system, including the mobile phone side and the remote web server side, to simulate the scenario in the real-world environment. The experiment confirmed the efficiency of our approach.