Conference Proceedings

An Immune Inspired Network Intrusion Detection System Utilising Correlation

Gianni Tedesco, Uwe Aickelin

Proceedings of the Workshop on Artificial Immune Systems and Immune System Modelling (AISB06) | Society for the Study of Artificial Intelligence and the Simulation of Behaviour | Published : 2006

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..

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University of Melbourne Researchers

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