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Dynamic Detection of Android Privacy Leakage based on Permission Analysis

GAO Yue%HU Ai-qun   

  • About author:东南大学信息安全研究中心,江苏南京,211189

Abstract: Current dynamic detection method of private data on Android platform is inefifcient. To solve this problem, a novel dynamic detecting method based on permission analysis is designed and implemented. This method combines static permission analysis with dynamic taint detection. The taint types and privacy export types in dynamic detection are determined by the permissions application applies for. The detection options are set through Android system properties. The experimental results show that this method can improve the efficiency of dynamic taint detection without affecting effectiveness.