Intelligent Intrusion Detection System using Machine Learning Algorithm (HMM)

Abstract

The impact of information security breaching is becoming bigger and complicated day-by-day. Intrusion Detection Systems (IDS)
are considered one of the basic building blocks for the protection against intrusive activities through detecting it before it hits the
network systems. Artificial neural networks have been used successfully for addressing the high accuracy and precision demands
of intrusion detection systems. Intrusion Detection system are security system monitoring traffic activities over information
system and network for safe detecting of hostile intrusion from either outside or inside of an organization . IDS can be trained,
validated and tested using CICIDS dataset. Dataset was used for validation and testing. In this paper, an intelligent intrusion
detection system using Hidden Markov Model, a Machine Learning Algorithm will be built.