一种基于行为分析的Android系统恶意程序检测模型

An Android Malware Detection System Model Based on Behavior Analysis

随着信息产业的不断发展,Android系统已经占据了大量的市场份额,由于Android系统本身存在漏洞,给恶意程序提供了机会。对传统的检测模型进行分析,提出了一种基于行为分析的Android系统恶意程序检测模型,该模型可以对程序行为的恶意性进行检测分析,根据分析结果对Android系统的权限进行更改,有效地解决权限串谋,提高Android系统检测机制的可靠性,同时也为用户提供了权限,有效预防恶意程序。

With the increasing development of information industry, the Android system has already occupied a large market share. The Android system itself has loopholes and offers opportunities for malicious programs. This paper analyzes the traditional detection model and proposes a Android malware detection system model based on behavior analysis. This model can detect and analyze the testing malicious program behavior. Ac- cording to the analysis results, changes can be made to the Android system permissions. This effectively solves the permissions collusion and improves the detection mechanism of the Android system. At the same time, it also provides users with permissions while effectively preventing malicious programs.