Malicious Android Application Detection Method using Machine Learning

Abstract

With the increasing popularity of the Android platform, we have seen the rapid growth of malicious Android applications recently. Considering that the heavy use of applications on mobile phones such as games, emails, and social network services has become a crucial part of our daily life, we have become more vulnerable to malicious applications running on mobile devices. This paper demonstrates on the problem of detecting malicious applications in the mobile internet, which is of great importance for personal information security and privacy security. We convert the android internet malicious application detection problem to a classification problem, and utilize the SVM classifier to solve it. Finally, we conduct an experiment to test the performance of the proposed method. Experimental results that the proposed can detect android internet malicious application with higher accuracy, true positive rate, and lower false positive rate.