Autonomous decision on intrusion detection with trained BDI agents

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Show simple item record Orfila, Agustín Carbó Rubiera, Javier Ignacio Ribagorda Garnacho, Arturo 2010-11-12T12:10:20Z 2010-11-12T12:10:20Z 2008-06-08
dc.identifier.bibliographicCitation Computer Communications, Vol. 31, n. 9, 8 June 2008, pp. 1803-1813
dc.identifier.issn 0140-3664
dc.description.abstract In the context of computer security, the first step to respond to an intrusive incident is the detection of such activity in the monitored system. In recent years, research in intrusion detection has evolved to become a multi-discipline task that involves areas such as data mining, decision analysis, agent-based systems or cost–benefit analysis among others. We propose a multiagent IDS that considers decision analysis techniques in order to configure itself optimally according to the conditions faced. This IDS also provides a quantitative measure of the value of the response decision it can autonomously take. Results regarding the well-known 1999 KDD dataset are shown.
dc.format.mimetype text/plain
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights © Elsevier B.V.
dc.subject.other Intrusion detection and response
dc.subject.other Multiagent system
dc.subject.other Decision analysis
dc.subject.other Knowledge management and reasoning
dc.title Autonomous decision on intrusion detection with trained BDI agents
dc.type article PeerReviewed
dc.description.status Publicado
dc.subject.eciencia Informática
dc.identifier.doi 10.1016/j.comcom.2007.11.018
dc.rights.accessRights openAccess
dc.identifier.publicationfirstpage 1803
dc.identifier.publicationissue 9
dc.identifier.publicationlastpage 1813
dc.identifier.publicationtitle Computer Communications
dc.identifier.publicationvolume 31
dc.affiliation.dpto UC3M. Departamento de Informática
dc.affiliation.grupoinv UC3M. Grupo de Investigación: COSEC (Computer SECurity Lab)
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