A Comprehensive Study for Mobile Android Malware Detection

Abstract

Abstract-Android Malware is a threat that needs to be considered by the Android OS user because it can interfere with the performance of the smartphone being used. Many applications that are scattered on the Google Store is a point of weakness for the user to determine which applications containing malware or not. This comprehesive study can explain about many applications that are scattered on the Google Store is a point of weakness for the user to determine which applications containing malware or not using several methods and display the comparison results between all previous study in the review of Android Mobile Malware. Till now there the optimal method suggested solution that could be considered as standard mechanism for Android Malware Detection is Bayesian classification algorithm based on the methods of previous research used in the detection of Android Malware. For this reason we intended to make our work as a survey paper to make it easier for Android user to determine installed application contains malicious program or not.