基于机器学习技术的Android恶意软件检测

Android Malware Detection Based on Machine-learning Technique

在智能移动终端中,Android系统以其平台的开放性,丰富多彩的软件内容与服务形式广受用户青睐。与此同时,以获取不正当盈利为目的Android恶意软件也层出不穷,使得Android平台存在严重的安全性问题,因此需要有效的安全检测机制对恶意软件进行检测。该文基于Android操作系统,结合机器学习分类技术,分别从静态分析和动态分析两方面对Android恶意软件进行检测。

Among various mobile terminals,Android system is widely favored by users because of its open platform,rich software content and services.At the same time,Android malware is also emerging for the purpose of obtaining improper profits,which brings serious security problems to the Android platform.Therefore,effective security mechanism needs to be proposed to detect malicious software.This paper is based on Android system and machine learning technology.It detects Android malware from two aspects of static analysis and dynamic analysis.