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Fast predictor-corrector intrusion detection system based on clustering

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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.accessioned2010-10-29T10:27:09Z
dc.date.available2010-10-29T10:27:09Z
dc.date.issued2004-09
dc.descriptionProceeding of: Reunión Española sobre Criptología y Seguridad de la Información (RECSI '04)Leganés, Madrid
dc.description.abstractA predictor-corrector intrusion detection system is proposed, whose predictors are various clustering algorithms with different initial parameters that operate in parallel on the current data set. The decisions whether abnormal behaviour is detected in the current data set are made by a number of assessors that implement various clustering quality evaluation techniques. The manager of the system estimates the quality of decision making from the pieces of information obtained a posteriori and then varies the parameters of the predictors and/or the assessors in order to achieve better overall performance of the system. In such a way, the intelligence of the system is delegated to higher decision making levels, which improves the effectiveness. Experimental results regarding the effectiveness of the system are given with the KDD CUP 1999 test data as the reference data set. These results show that very good overall performance can be achieved by selecting properly various system parameters.
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationAvances en criptología y seguridad de la información. Actas de la VIII Reunión Española sobre Criptología y Seguridad de la Información. Madrid: Díaz de Santos, 2004, pp. 507-516
dc.identifier.isbn84-7978-650-7
dc.identifier.publicationfirstpage507
dc.identifier.publicationlastpage516
dc.identifier.publicationtitleAvances en criptología y seguridad de la información. Actas de la VIII Reunión Española sobre Criptología y Seguridad de la Información
dc.identifier.urihttps://hdl.handle.net/10016/9544
dc.language.isoeng
dc.publisherDíaz de Santos
dc.relation.eventnumber8
dc.relation.eventplaceLeganes (Madrid, Spain)
dc.relation.eventtitleReunión Española sobre Criptología y Seguridad de la Información (RECSI '04)
dc.rights© Benjamín Ramos Álvarez y Arturo Ribagorda Garnacho et al., 2004
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherAnomaly detection
dc.subject.otherClustering
dc.subject.otherDecision making
dc.subject.otherIntrusion detection system
dc.titleFast predictor-corrector intrusion detection system based on clustering
dc.typeconference paper*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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