An immune inspired Network Intrusion Detection System utilising correlation


Autoria(s): Tedesco, Gianni; Aickelin, Uwe
Contribuinte(s)

Kovacs, Tim

Marshall, James A.R.

Data(s)

2006

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.nottingham.ac.uk/995/1/tedesco2006.pdf

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

Idioma(s)

en

Publicador

Society for the Study of Artificial Intelligence and the Simulation of Behaviour

Relação

http://eprints.nottingham.ac.uk/995/

http://www.aisb.org.uk/publications/proceedings/aisb06/AISB06_vol1.pdf

Tipo

Book Section

PeerReviewed