Implementation of Machine learning based Network Intrusion Detection System

Abstract

Recently network attack has been spreaded in computer networks. They can Penetrates through user’s terminal and then cause damage to the system as general. This research aims to find solution for this trouble by implementing intrusion detection system which able to monitor the network traffic and analyse it to extract features, moreover using artificial tool Weka to classify the traffic (anomalous or not). in this research, several classification algorithms have been tested and evaluated to perform the task of detecting the intruders, among them J48 is considered the optimum choice reasonable accuracy 99.6122% with minimum testing time 2.9 sec.