Score-Based Feature Selection for Malware in Android Application

Abstract

Mobile malware performs malicious activities like stealing private information, sending message SMS, reading contacts can harm by exploiting data. Malware spreads around the world infects not only end users applications but also large organizations service providers systems. Malware classification is a vital component that works together with malware identification to prepare the correct effective malware antidote. Malware feature selection is also important to reduce cost and time for malware identification. They may have many features in every mobile android application. Score Based feature selection method is proposed in this paper based on the study of Android application package (.apk)file. According to the experiment on different classifiers, the results show that our proposed feature selection method is applicable as a light weight approach.