An immune inspired Network Intrusion Detection System utilising correlation

Tedesco, Gianni; Aickelin, Uwe

Abstract

Network Intrusion Detection Systems (NIDS) are computer systems which monitor a network with the aim of discerning malicious from benign activity on that network. While a wide range of approaches have met varying levels of success, most IDSs rely on having access to a database of known attack signatures which are written by security experts. Nowadays, in order to solve problems with false
positive alerts, correlation algorithms are used to add additional structure to sequences of IDS alerts. However, such techniques are of no help in discovering novel attacks or variations of known attacks, something the human immune system (HIS) is capable of doing in its own specialised domain. This paper presents a novel immune algorithm for application to the IDS problem. The goal is to discover
packets containing novel variations of attacks covered by an existing signature base.

Citation

Tedesco, G., & Aickelin, U. (2006). An immune inspired Network Intrusion Detection System utilising correlation. In T. Kovacs, & J. A. Marshall (Eds.), AISB '06: adaptation in artificial and biological systems. Society for the Study of Artificial Intelligence and the Simulation of Behaviour

• Publication Date: Jan 1, 2006
• Deposit Date: Jan 30, 2009
• Publicly Available Date: Jan 30, 2009
• Peer Reviewed: Peer Reviewed
• Volume: 1
• Book Title: AISB '06: adaptation in artificial and biological systems
• ISBN: 1902956975
• Public URL: https://nottingham-repository.worktribe.com/output/1019618
• Publisher URL: http://www.aisb.org.uk/publications/proceedings/aisb06/AISB06_vol1.pdf
• Related Public URLs: http://www.cs.bris.ac.uk/~marshall/ais/ais.html
• Additional Information: Originally presented at: Workshop on Artificial Immune Systems and Immune System Modelling, 4th April 2006; part of AISB'06: Adaptation in Artificial and Biological Systems, held at the University Bristol.