Comparative Analysis of Android Malware Detection Techniques

被引:2
|
作者
Painter, Nishant [1 ]
Kadhiwala, Bintu [1 ]
机构
[1] Sarvajanik Coll Engn & Technol, Dept Comp Engn, Surat, Gujarat, India
关键词
Android; Malware; Signature-based; Machine-learning-based;
D O I
10.1007/978-981-10-1678-3_12
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent years, the widespread adoption of smartphones has led to a new age of information exchange. Among smartphones, Android devices have gained huge popularity due to the open architecture of Android and advanced programmable software framework to develop mobile applications. However, the pervasive adoption of Android is coupled with progressively uncontrollable malware threats. This paper gives an insight of existing work in Android malware detection. Additionally, this paper highlights the parametric comparison of existing Android malware detection techniques. Thus, this paper aims to study various Android malware detection techniques and to identify plausible research direction.
引用
收藏
页码:131 / 139
页数:9
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