Immune System Approaches to Intrusion Detection - A Review

TL;DR

This review explores how biologically inspired immune system algorithms are applied to intrusion detection, highlighting their potential to enhance security in complex, dynamic computer systems.

Contribution

It provides a comprehensive overview of immune-based algorithms in intrusion detection, analyzing key developments and suggesting future research directions.

Findings

Immune system algorithms show promise in detecting intrusions.

Biologically inspired approaches offer robustness and adaptability.

Further research is needed to optimize immune-based security systems.

Abstract

The use of artificial immune systems in intrusion detection is an appealing concept for two reasons. Firstly, the human immune system provides the human body with a high level of protection from invading pathogens, in a robust, self-organised and distributed manner. Secondly, current techniques used in computer security are not able to cope with the dynamic and increasingly complex nature of computer systems and their security. It is hoped that biologically inspired approaches in this area, including the use of immune-based systems will be able to meet this challenge. Here we review the algorithms used, the development of the systems and the outcome of their implementation. We provide an introduction and analysis of the key developments within this field, in addition to making suggestions for future research.