Android Malware Detection Based on Machine Learning

被引：1
|
作者：
Wang, Qing-Fei [1 ]
Fang, Xiang [1 ]
机构：
[1] Hubei Univ Med, Sch Publ Hlth & Management, Shiyan, Peoples R China
来源：
2018 4TH ANNUAL INTERNATIONAL CONFERENCE ON NETWORK AND INFORMATION SYSTEMS FOR COMPUTERS (ICNISC 2018) | 2018年
关键词：
Android malware; machine learning; static analysis; dynamic analysis;
D O I：
10.1109/ICNISC.2018.00094
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：434 / 436
页数：3
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