期刊名称：International Journal of Computer Science and Security (IJCSS)
电子版ISSN：1985-1553
出版年度：2021
卷号：15
期号：1
页码：1-18
出版社：Computer Science Journals
摘要：Malware detection is a significant key to Android application security. Malwares threat to Android users is increasing day by day. End users need security because they use mobile device to communicate information. Therefore, developing malware detection and control technology should be a priority. This research has extensively explored various state of the art techniques and mechanisms to detect malwares in Android applications by systematic literature review. It categorized the current researches into static, dynamic and hybrid approaches. This research work identifies the limitation and strength current research work. According to the restrictions of current malware detection technologies, it can conclude that detection technologies that use statistical analysis consume more time, energy and resources as compare to machine learning techniques. The results obtained from this research work reinforce the assertion that detection approaches designed for Android malware do not produce 100% efficient detection accuracy.
关键词：Malware Detection; Android; Static; Dynamic and Hybrid Detection.
