Permission Based Android Malware Detection With Multilayer Perceptron


Utku A., Muhendisligi B., AKCAYOL M. A.

26th IEEE Signal Processing and Communications Applications Conference (SIU), İzmir, Türkiye, 2 - 05 Mayıs 2018 identifier identifier

Özet

Number of mobile devices that are an important part of everyday life and the users who are interested in this technology are increasing. Increasing mobile applications and malwares are leading the privacy of personal data. Existing security approaches are not enough because malwares are quickly modified and malware detection becomes difficult. In this work, a new malware detection system based on multilayer perceptron for detection of Android malware has been developed. In the developed system, a dataset consisting of 7210 applications including malicious applications in Drebin dataset and normal applications obtained through the Google Play Store were used. The analysis results show that the developed system performs malware detection with 95.658% success rate.