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Labelling clusters in an intrusion detection system using a combination of clustering evaluation techniques

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: COSEC (Computer SECurity Lab)es
dc.contributor.authorPetrovic, Slovodan
dc.contributor.authorÁlvarez, Gonzalo
dc.contributor.authorOrfila, Agustín
dc.contributor.authorCarbó Rubiera, Javier Ignacio
dc.date.accessioned2010-11-12T13:06:12Z
dc.date.available2010-11-12T13:06:12Z
dc.date.issued2006-01
dc.descriptionProceeding of the: 39th Annual Hawaii International Conference on System Sciences, 2006 (HICSS’06)
dc.description.abstractA new clusters labelling strategy, which combines the computation of the Davies-Bouldin index of the clustering and the centroid diameters of the clusters is proposed for application in anomaly based intrusion detection systems (IDS). The aim of such a strategy is to detect compact clusters containing very similar vectors and these are highly likely to be attack vectors. Experimental results comparing the effectiveness of a multiple classifier IDS with such a labelling strategy and that of the classical cardinality labelling based IDS show that the proposed strategy behaves much better in a heavily attacked environment where massive attacks are present. The parameters of the labelling algorithm can be varied in order to adapt to the conditions in the monitored network.
dc.description.statusPublicado
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitation39th Annual Hawaii International Conference on System Sciences, 2006. Proceedings. (HICSS’06), vol. 6, pág. 129b
dc.identifier.doi10.1109/HICSS.2006.247
dc.identifier.isbn0-7695-2507-5
dc.identifier.issn1530-1605
dc.identifier.publicationtitle39th Annual Hawaii International Conference on System Sciences, 2006. Proceedings. (HICSS’06)
dc.identifier.publicationvolume6
dc.identifier.urihttps://hdl.handle.net/10016/9531
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdate2006
dc.relation.eventnumber39
dc.relation.eventplaceHawaii (USA)
dc.relation.eventtitle39th Annual Hawaii International Conference on System Sciences (HICSS’06)
dc.relation.publisherversionhttp://dx.doi.org/10.1109/HICSS.2006.247
dc.rights© IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherClustering
dc.subject.otherIDS
dc.subject.otherIntrusion detection
dc.titleLabelling clusters in an intrusion detection system using a combination of clustering evaluation techniques
dc.typeconference paper*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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