Use of AI in a Network Intrusion Detection System

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1. INTRODUCTION

In the 1950’s era, Computer Networking became the focus for communication in military radar system and it evolved in such a way that currently approximately 9 billion devices are connected over the internet. Computer networking is currently used for business and personal use. But, this connections among devices are being misused by malicious users in the form of internet attacks. These attacks pose threat on continuously growing internet which must be defended by a security defense system. The factors that a security system should provide is integrity, confidentiality and availability. Intrusion detection system is one of them, which monitors the network traffic for possible attacks and reacts to them by either alarming security officer or by performing any of the customized action. Currently, lots of research is being conducted in this area and it is seen that artificial intelligence plays a major role and works effectively in developing this kind of system. Hence, the objective of this paper is to portray methods and areas of artificial intelligence being used in different types of Intrusion Detection System. We will elaborate artificial intelligence algorithms and detection principle commonly used.

2. OVERVIEW OF INTRUSION DETECTION SYSTEM

2.1 Networking Attacks

There are four major categories of attacks:
Denial of Service(DOS) : It is an attack which makes the attacked machine busy such that it is not able to serve legitimate client (eg apache, smurf, neptune, ping to death etc).
Remote to user attacks(R2L) : Is an attack, in which attacker sends packets to a host machine, which does not have access by exploiting vulnerability and have control on that host system by having access host user privileges. (e.g...

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