Intrusion Detection System on Android Phones Using Filter Base Feature Selection Algorithm

Abstract

With every day increase in the number of android phone applications, there is a huge increment in malicious activities in android phone. Intrusion detection system (IDS) is an effort gear towards monitoring and controlling such intrusion activities. This paper proposes a system that detects any illegal/malicious intrusions in android phone using filter based feature selections. The filter based feature selection approach uses the characteristics of data to select and evaluate the features thus; eliminating variables that are not in the dataset and ensures that the selection processes and results are statistically good. This paper adopted the object oriented analysis and design method (OOADM), and uses the approach to model real world processes, operations and data in a more flexibly, efficiently and realistically manner. The paper goal is to raise user awareness of the permission-based system of Android phones and the threat it pose and provide counter measure system for more secured operations. The proposed Android Intrusion Detection System (AIDS) will be downloaded from Google play store by users of Android phones to help in monitor detecting, filtering, authenticating, logging and mail alert of intrusion attempt to the user's phone.