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

TL;DR

This paper explores how a novel immunological concept, Danger Theory, can inspire improvements in intrusion detection systems by mimicking biological immune responses to enhance computer security.

Contribution

It introduces the Danger Theory paradigm from immunology and discusses its application to developing more effective artificial immune systems for intrusion detection.

Findings

Danger Theory provides a new framework for intrusion detection.

Inspiration from immunology can improve detection accuracy.

Current systems can be enhanced by biologically inspired paradigms.

Abstract

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, anti-virus 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 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.