Detecting Danger: Applying a Novel Immunological Concept to Intrusion Detection Systems'

Greensmith, Julie, Aickelin, Uwe and Twycross, Jamie (2004) Detecting Danger: Applying a Novel Immunological Concept to Intrusion Detection Systems'. In: 6th International Conference in Adaptive Computing in Design and Manufacture, 2004, Bristol, UK.

This is the latest version of this item.

Full text not available from this repository.

Abstract

INTRODUCTION

In recent years computer systems have become increasingly complex and consequently the challenge of protecting these systems has become

increasingly difficult. Various techniques have been implemented to counteract the misuse of computer systems in the form of firewalls, antivirus software and intrusion detection systems. The complexity of networks and dynamic nature of computer systems leaves current methods with significant room for improvement.

Computer scientists have recently drawn inspiration from mechanisms found in biological systems and, in the context of computer security,

have focused on the human immune system (HIS). The human immune system provides an example of a robust, distributed system that provides a high

level of protection from constant attacks. By examining the precise mechanisms of the human immune system, it is hoped the paradigm will

improve the performance of real intrusion detection systems.

This paper presents an introduction to recent developments in the field of immunology. It discusses the incorporation of a novel immunological paradigm, Danger Theory, and how this concept is inspiring artificial immune systems (AIS). Applications within the context of computer security are outlined drawing direct reference to the underlying principles of Danger Theory and finally, the current state of intrusion detection systems is discussed and improvements suggested.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/1021500
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 12 Oct 2007 14:00
Last Modified: 04 May 2020 20:31
URI: https://eprints.nottingham.ac.uk/id/eprint/630

Available Versions of this Item

Actions (Archive Staff Only)

Edit View Edit View