Android mobile phone user abnormal use behavior analysis and visualization method

Abstract

The invention discloses an Android mobile phone user abnormal use behavior analysis and visualization method, and the method comprises the following steps: S100, data extraction: obtaining an application package, extracting data, and uploading the data to a client, the application package being used for extracting various data in an Android mobile phone; S200, analyzing the data; and S300, visualizing an analysis result. According to the method provided by the invention, the APP use information and the internet surfing information of the user are accurately analyzed aiming at the extracted data, the data are assembled by taking time and behaviors as main lines, and the analysis result is displayed in a thermodynamic diagram and histogram mode, so that the user operation is very simple, the visual display logic is clear and visual, and the analysis result is easy to understand.

Description

technical field [0001] The invention belongs to the field of electronic forensics, and relates to an analysis and visualization method of an Android mobile phone user's abnormal use behavior. Background technique [0002] The popular use of Android mobile phones has created tens of thousands of Android-based application APPs that have sprung up. The application APP not only greatly enriches people's daily life and improves the efficiency of people's work, but also makes people's way of life better. qualitative improvement and transformation. [0003] When people use Android mobile phones, a large amount of user information is recorded in the mobile phone. These information are temporarily or permanently stored in the mobile phone after the user uses the Android mobile phone every day, and are invisible to ordinary users or cannot intuitively understand the meaning of the information. These include the traces of the user's APP usage, Internet access information and many mor...

AI Technical Summary

Problems solved by technology

[0006]1. It is not efficient to copy all the data in the Android phone;

[0007]2. The analysis results cannot show the abnormal behavior of users;

[0008]3. The operation process is complicated and requires the cooperation of professional personnel to complete the evidence collection work

[0009] To sum up, in the field of electronic forensics, there is no method for analysis and visualization of abnormal behavior of Android mobile phones that is easy to operate, high in evidence collection efficiency, and good in display effect

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