Popular tools for malware data analysis
Date of Issue2016
School of Electrical and Electronic Engineering
With the arising of smartphone usage, especially for Android OS, users are relying on their mobile devices increasingly. However, Android Malware brings significant threats to the eco-system. In this project, several effective Malware detection tools are implemented and afterwards evaluated on their accuracy and efficiency. Also, several commonly used classifiers are implemented and their performances are compared in classifying Android Malware. Additionally, concept drift in Android Malware is studied and evaluated on certain Malware datasets.
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing