Mobile Botnet Detection
Pranay Jadhav, Aftab Mulla, Gaurav Bhoi, Sumit Raj, Sinu Nambiar · International Journal for Research in Applied Science and Engineering Technology · 2023
Abstract: Android, being the most widespread mobile operating systems is in- creasingly becoming a target for malware. Malicious apps designed to turn mobile devices into bots that may form part of a larger botnet have become quite common, thus posing a serious threat. This calls -for more effective methods to detect botnets on the Android plat- form. Hence, in this paper, we present a deep learning approach for Android botnet detection based on Support vector machine (SVM). Our proposed botnet detection system is implemented as a svm- based model that is trained on 342 static app features to distinguish between botnet apps and normal apps.