Sensor based application for malware detection in android OS(Operating System) devices

Abstract

With the increase of Android OS mobile's usage day-to-day, mobiles are getting affected with malware applications. Many antimalware's are available in the market to detect and remove these malwares from the device. But these antimalware's fails to detect the once the malware changes its form. To overcome this, we proposed a technique using SVM (Support Vector Machine) tool, which increases the malware detection strength. Each time when a new application is installed in the mobile, the permission features and API (Application Programming Interface) calls related to the application are extracted and weights are assigned to them. The weights are assigned based on their malicious nature. If the total weight exceeds the predefined threshold then it will considered as malware and reports to the user. This method can also detect even if the malware changes its form.