Label-based black box detection method and system for privacy disclosure of Android user

Abstract

The invention relates to a label-based black box detection method and system for privacy disclosure of an Android user. The detection steps are as follows: 1), user privacy data are created for an Android user terminal and category labels are added to the user privacy data; 2), at least one to-be-detected application program is mounted in the Android user terminal and is triggered; 3), the category labels carried in data packets sent by the application program are detected at an network exit of the Internet, a Bluetooth or a short message; and 4), privacy data categories are judged according to category labels carried in the data packets, and results are recorded. Analysis of a large number of orders and stain spreading time is saved, variables in all orders of the application program and intermediate variables during calculation are avoided, and a large amount of memory expenditure is saved at the same time.

Description

technical field [0001] The invention relates to the detection of Android user privacy information, in particular to a method and an implementation system for detecting whether an Android application program sends out certain user privacy data based on a pre-set label, and belongs to the field of mobile terminal security. Background technique [0002] At present, information technology has entered the mobile Internet era, and smart mobile terminals have increasingly become the main terminal form for users to conduct various network activities due to their portability and low cost. Compared with traditional mobile terminals, smart mobile terminals have higher-performance processors, larger storage space, higher mobile network data transmission capabilities, and open third-party mobile terminal operating systems, so a large number of businesses can be carried out with the help of smart mobile terminals applications to process more personal privacy data. These data, such as cal...

AI Technical Summary

Problems solved by technology

Usually, during the running of each application program, the operations involved in instructions often have hundreds, thousands, tens of thousands or even higher orders of magnitude. Using the white box method of analyzing and tracking data flow one by one will bring a lot of time and memory. overhead

In addition, when many applications send users' private data, they usually just read, copy and send them, and rarely waste too much running time and computing resources to deform and encrypt them.

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