Android advertisement plug-in detection method based on characteristic of decompilation module

Abstract

The invention discloses an android advertisement plug-in detection method based on a characteristic of a decompilation module, which comprises the following steps: first, collecting sample android applications of an advertisement plug-in and decompiling the sample android applications to form a Java file; carrying out modular decomposition by taking a second level package of the Java file as the demarcation point; marking all modules as an advertisement plug-in module and a non-advertisement plug-in module; then, extracting a words count characteristic sequence of every module to form a module set; establishing a mapping vector so that elements in the module set can be mapped into a characteristic space vector S; inputting the characteristic space vector S into a classifier to learn and train the classifier so that the detection modules are automatically classified into two classes; and finally, detecting an advertisement plug-in of an unknown application sample by utilizing the trained classifier. The android advertisement plug-in detection method has the advantages of simplifying the module division process, improving the module division efficiency, detecting a large amount of mobile application programs in short time and realizing fast detection of the advertisement plug-in contained in mobile applications.

Description

technical field [0001] The invention belongs to the field of mobile application security and relates to the detection of mobile application advertisement plug-ins, in particular to an android advertisement plug-in detection method based on the characteristics of a decompilation module. Background technique [0002] In recent years, with the rapid development of the mobile Internet industry and the rapid popularization of mobile smart terminals, mobile application innovations have continued, and mobile application content has covered navigation, reading, weather, education, fashion, shopping, social networking, payment, taxis, etc. . [0003] Due to the large demand of users for mobile applications, the current business model is very popular to embed advertisements in mobile applications and obtain revenue through advertising sharing. With the continuous expansion of the mobile application advertising industry, the security risks faced by mobile application advertising have ...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the low efficiency of the existing method for detecting a large number of mobile applications in a short period of time and the inability to quickly detect the advertisement plug-ins contained in the mobile applications, the present invention proposes a detection method for android advertisement plug-ins based on the characteristics of the decompilation module

Images