Examining Features for Android Malware Detection
نویسندگان
چکیده
With the constantly increasing use of mobile devices, the need for effective malware detection algorithms is constantly growing. The research presented in this paper expands upon previous work that applied machine learning techniques to the area of Android malware detection by examining Java API call data as a method for malware detection. In addition to examining a new feature, a significant amount of work has been done in understanding how the model works and various ways of improving its accuracy. Ultimately a classification accuracy of around 80-85% was achieved using the JAVA API call feature.
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تاریخ انتشار 2017