出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper is focused on the issue of malware detection for Android mobile system by ReverseEngineering of java code. The characteristics of malicious software were identified based on acollected set of applications. Total number of 1958 applications where tested (including 996malware apps). A unique set of features was chosen. Five classification algorithms (RandomForest, SVM, K-NN, Nave Bayes, Logistic Regression) and three attribute selection algorithmswere examined in order to choose those that would provide the most effective malwaredetection.
