Research on iOS Application of Internal Privacy Leakage Detection Technology

In order to solve the problem of user privacy leakage in iOS applications, and make up for the limitations that existing techniques can not detect the leakage of internal privacy, this paper proposes a technology of internal privacy leakage detection based on dynamic detection and forensics. Firstly, identifying the user privacy data using the dynamic detection technology. Then, monitoring the application of run-time data combined with the forensics technology. Finally, locating the leaked user privacy in the network communication, local storage and log information. Experiments selected and tested 40 popular applications from different categories in the App Store. The experiments found that more than half of the applications have serious privacy leakage problems, and the main leak points are network traffic and local files.