ANDROID MALWARE DETECTION USING MACHINE LEARNING AND REVERSE ENGINEERING
Michał Kędziora, Paulina Gawin, Michał Szczepanik, Ireneusz J. Jóźwiak · 2018
This paper is focused on the issue of malware detection for Android mobile system by Reverse Engineering of java code.The characteristics of malicious software were identified based on a collected set of applications.Total number of 1958 applications where tested (including 996 malware apps).A unique set of features was chosen.Five classification algorithms (Random Forest, SVM, K-NN, Nave Bayes, Logistic Regression) and three attribute selection algorithms were examined in order to choose those that would provide the most effective malware detection.