Automatic Android platform malicious software detecting method
An automated detection and malware technology, applied in software testing/debugging and other directions, can solve problems such as in-depth research and analysis of the characteristics of malware behavior patterns, and achieve the effects of reducing test energy consumption, reducing the number of feature libraries, and reducing retrieval complexity.
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[0046] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0047] See figure 1 The figure is an overall flow chart of the automatic detection of malware on Android platform implemented by the implementation of the present invention. The specific steps are:
[0048] Step 1. Analyze the behavior patterns of malware based on the Android platform, mainly to analyze the attack intent and behavior of mainstream malware, such as DroidDream, DroidKungfu, jSMSHider, GoldDream, BaseBridge, Plankton, etc.
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