An immune inspired Network Intrusion Detection System utilising correlation

Tedesco, Gianni and Aickelin, Uwe (2006) An immune inspired Network Intrusion Detection System utilising correlation. In: AISB '06: adaptation in artificial and biological systems. Society for the Study of Artificial Intelligence and the Simulation of Behaviour, Bristol, pp. 16-17. ISBN 1902956975

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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.

Item Type:Book Section
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.
Schools/Departments:Faculty of Science > School of Computer Science
ID Code:995
Deposited By:Aickelin, Professor Uwe
Deposited On:30 Jan 2009 15:23
Last Modified:02 Aug 2010 11:24

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