A detection method for malicious codes in Android apps

In recent years, the Android operating system for mobile terminals has developed very quickly. A variety of mobile devices which are using Android operating system are more than 60% in the domestic market share. With the number of Android application raising fast, a variety of information leakage, malicious chargeback, failure of operating system events occurred frequently; the safety of Android system also attracts wide attention of researchers. In this paper, combining static analysis and dynamic analysis, we present a malicious code detection method and implementation. Through the statistics of the sensitive API functions and tracking the flow of sensitive information, static analysis module uses the static analysis reverse technology to achieve the detection of malicious behaviors. And dynamic analysis module mainly uses system log analysis and records a variety of sensitive behaviors generated during the operation to discover intrusions. Furthermore, the ultimate combination of static analysis and dynamic analysis will determine whether the target software contains malicious codes.