Android Botnet Detection Based on Network Analysis Using Machine Learning Algorithm.

Android is one of the popular open-source mobile operation system. The popularity of Android attracts the malware developer to attack the Android operating system to get credential information for bad purposes using malware. There is numerous method available to detect the presence of Android botnet using static and dynamic analysis. Static analysis unable to monitor the botnet behavior during runtime. Therefore, we use dynamic analysis by proposing android botnet detection technique using network analysis which will be able to capture behavior of android application during runtime. The benign application dataset is taken from APKPure and malware application dataset from Koodous and Github. We extracted five features that were captured during network traffic analysis using Wireshark and SSL Packet Capture. The network traffic analysis approach shows promising result with accuracy value 76.5