Research Area:  Digital Forensics

Abstract:

Android receives major attention from security practitioners and researchers due to the influx number of malicious applications. For the past twelve years, Android malicious applications have been grouped into families. In the research community, detecting new malware families is a challenge. As we investigate, most of the literature reviews focus on surveying malware detection. Characterizing the malware families can improve the detection process and understand the malware patterns. For this reason, we conduct a comprehensive survey on the state-of-the-art Android malware familial detection, identification, and categorization techniques. We categorize the literature based on three dimensions: type of analysis, features, and methodologies and techniques. Furthermore, we report the datasets that are commonly used. Finally, we highlight the limitations that we identify in the literature, challenges, and future research directions regarding the Android malware family.

Keywords:  

Author(s) Name:  Fahad Alswaina and Khaled Elleithy

Publisher name:  MDPI

DOI:  10.3390/electronics9060942

Volume Information:  Volume 9 Issue 6

Paper Link:   https://www.mdpi.com/2079-9292/9/6/942