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.
