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KIND OF ANDROID MALICIOUS CODE DETECTION METHOD ON THE BASE OF COMMUNITY STRUCTURE ANALYSIS

机译:基于社区结构分析的安卓恶意代码检测方法

摘要

This invention comes up with a kind of Android malicious code detection method on the base of community structure analysis. During the reverse analysis process of target program, firstly, it obtains critical static feature information automatically, such as permission, function, class, system API, etc,; secondly, it uses the call relation between functions to create function call graph, and undertakes pretreatment on function call graph; make cycle division and analysis for the weighted function call graph so as to get the correction division of community structure; finally, it extract features from community structures for machine learning and get the final maliciousness determination result. This invention method is able to undertake program internal structure analysis and malicious code detection rapidly when facing a large number of Android application program samples generated by “repackaging” technology.
机译:本发明提出了一种基于社区结构分析的Android恶意代码检测方法。在目标程序的反向分析过程中,首先,它自动获取关键的静态特征信息,如权限,功能,类,系统API等。其次,利用函数之间的调用关系创建函数调用图,并对函数调用图进行预处理。对加权函数调用图进行循环划分和分析,得到社区结构的校正划分。最后,它从社区结构中提取特征以进行机器学习,并获得最终的恶意程序确定结果。当面对由“重新打包”技术产生的大量Android应用程序样本时,本发明的方法能够迅速进行程序内部结构分析和恶意代码检测。

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