The Association of Digital Forensics, Security and Law (ADFSL)
This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and behavioral patterns. Each paper is reviewed extensively and the core features of each technique are highlighted and contrasted with the others. The challenges faced during the development of such techniques are also discussed along with the future prospects for Android malware detection. The findings of the review have been well documented in this paper to aid those making an effort to research in the area of Android malware detection by understanding the current scenario and developments that have happened in the field thus far.
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Shaerpour, Kaveh; Dehghantanha, Ali; and Mahmod, Ramlan
"Trends in Android Malware Detection,"
Journal of Digital Forensics, Security and Law: Vol. 8
, Article 2.
Available at: https://commons.erau.edu/jdfsl/vol8/iss3/2