4.7 Review

A survey of malware detection in Android apps: Recommendations and perspectives for future research

期刊

COMPUTER SCIENCE REVIEW
卷 39, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.cosrev.2020.100358

关键词

Malware detection; Android security; Security

向作者/读者索取更多资源

This paper investigates the main mechanisms and approaches for malware detection in Android applications, identifying the advantages and limitations of each, and suggesting avenues for future research in this area.
Android has dominated the smartphone market and has become the most popular operating system for mobile devices. However, security threats in Android applications have also increased in lockstep with Android's success. More than 3 million new malware samples, targeting the Android operating system were discovered in 2017. Although persistent research efforts have been to address these threats and several detection techniques and tools have been developed as a result, they all exhibit distinct limitations such that no single solution can claim to solve the Android malware problem. In this paper, we survey the main mechanisms and approaches for malware detection in Android applications. We identify the advantages and limitations of each and suggest avenues of research to advance knowledge in this regard. (C) 2020 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据