On Malware Detection in the Android Operating System

被引：1

作者：

Badami, Charles ^{[1
]}

Kettani, Houssain ^{[1
]}

机构：

[1] Dakota State Univ, Beacom Coll Comp & Cyber Sci, Madison, SD 57042 USA

来源：

4TH INTERNATIONAL CONFERENCE ON ALGORITHMS, COMPUTING AND SYSTEMS, ICACS 2020 | 2020年

关键词：

Android; static analysis; dynamic analysis; malware detection;

D O I：

10.1145/3423390.3423394

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The threat of malware attacks on Android mobile devices is an ever-growing one, as usage and sophistication increases. As the Android OS is fairly new in the overall set of operating systems, there is much need and room for research in the area of Android malware detection. In this paper, several current Android malware detection methods are categorized in terms of static, dynamic, and family signature analysis. In addition, the methods identified are analyzed for their relative levels of effectiveness.

引用

页码：45 / 50

页数：6

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