| With the rapid development of mobile Internet-related technologies,the market share occupied by mobile devices and smart terminals is getting more and more,and the mobile security problems caused by mobile devices have become serious increasingly.Among the problems,the personal privacy data security problems in the Android platform are prominent especially.The way to protect user privacy data security has become an important issue in the development of the mobile Internet.Firstly,the research status at home and abroad of the analysis,detection and protection in Android App privacy leakage is analyzed.The advantage and problem of the various detection and protection methods is summarized.And the related theories and techniques of privacy disclosure in the Android platform are introduced.Secondly,based on the Android APP taint analysis,the page-level static privacy leak detection model is built.The model is divided into privacy leak detection layer,page positioning layer,and APP reconstruction layer.The privacy leak detection layer uses an improved tool based on the FlowDroid to detect the taint of the APP,obtains the stain propagation path and PCD from the tool.A PPCD is constructed based on the detection results and PCD,and a page is prompted according to the page positioning algorithm.The APP reconstruction layer decompiles the APK,changes the Smali code of the page to be prompted,and then repackages the modified code.Thirdly,based on the user-facing page-level privacy leak detection model,an implementation scheme of the user-facing page-level privacy leak detection model is designed,and the privacy leak detection,prompt page location,and APP reconstruction processing method and process are given.Finally,on the basis of the user-level page-level privacy leak detection model's implementation program,the implementation of a specific program is completed,and the feasibility and effectiveness of the program are demonstrated through the experiments. |
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