Android Malware Detection Combining Feature Correlation And Bayes Classification Model

In this paper, we put forward an improved Android malware detection method. When the Android malware is in the execution, the method can capture various features from Android malware and then apply machine learning technology to classify the android applications into different categories. Also the method we proposed is improved combining feature correlation and Bayes classification model. Experiment results suggest that the improved classification method is more effective than the Naive Bayes classification model in detecting Android malware.