基于动静态结合分析的Android恶意应用多重检测模型

Android malicious application multi-detection model based on dynamic and static combination analysis

文章通过对大量Android恶意软件的研究,提出并设计一种Android恶意应用综合检测模型。模型中包含动态监测和静态分析两种恶意应用识别技术,并结合机器学习算法,对Android应用中可能存在的恶意代码攻击、漏洞利用、隐私泄露3种问题进行了研究并设计出解决方案。

This paper proposes and designs a detection model for Android malicious applications through the research of a large number of Android malware.The model includes two kinds of malicious application identification technologies:dynamic monitoring and static analysis.Combined with machine learning algorithms,this paper studies the malicious code attacks,exploits and privacy leaks in Android applications and designs solutions.