Automatic Generation Of Mobile Application Behavior Statement Template Based On API Call Graph

With the popularity of mobile Internet, Android has become the mobile operating system with the largest market share, Android applications have become a part of people’s life, but the credibility of Android applications is increasingly difficult to guarantee. According to statistics, the number of Android applications in the country has exceeded 3 million, in such a huge scale, some malicious applications mixed in, stealing privacy, threatening, malicious deduction and other untrustworthy behavior has caused great impact on the life of users. Most of the current research on Android malicious applications only focuses on how to detect malicious applications, but not on their behavior. Therefore, in this paper, we will take Android application as the research generalization, generate its sensitive API call graph by extracting the sensitive API and permission call situation of Android application, extract the untrustworthy behavior of Android application by analyzing and studying the API call graph, and finally build a template of untrustworthy behavior statement for Android application. The application market can detect whether there is untrustworthy behavior of Android applications based on this behavior statement template.