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Effectiveness evaluation of data mining based IDS

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: COSEC (Computer SECurity Lab)es
dc.contributor.authorOrfila, Agustín
dc.contributor.authorCarbó Rubiera, Javier Ignacio
dc.contributor.authorRibagorda Garnacho, Arturo
dc.date.accessioned2010-11-03T13:26:06Z
dc.date.available2010-11-03T13:26:06Z
dc.date.issued2006-07
dc.descriptionProceeding of: 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July 14-15, 2006.
dc.description.abstractData mining has been widely applied to the problem of Intrusion Detection in computer networks. However, the misconception of the underlying problem has led to out of context results. This paper shows that factors such as the probability of intrusion and the costs of responding to detected intrusions must be taken into account in order to compare the effectiveness of machine learning algorithms over the intrusion detection domain. Furthermore, we show the advantages of combining different detection techniques. Results regarding the well known 1999 KDD dataset are shown.
dc.description.statusPublicado
dc.format.mimetypeapplication/octet-stream
dc.format.mimetypeapplication/octet-stream
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationAdvances in data mining, applications in medicine, web mining, marketing, image and signal mining: 6th Industrial Conference on Data Mining, ICDM 2006. Springer, 2006, pp. 377-388
dc.identifier.doi10.1007/11790853_30
dc.identifier.isbn3-540-36036-0
dc.identifier.isbn978-3-540-36036-0
dc.identifier.issn0302-9743
dc.identifier.publicationfirstpage377
dc.identifier.publicationlastpage388
dc.identifier.publicationtitleAdvances in data mining, applications in medicine, web mining, marketing, image and signal mining
dc.identifier.publicationvolume4065
dc.identifier.urihttps://hdl.handle.net/10016/9575
dc.language.isoeng
dc.publisherSpringer
dc.relation.eventdateJuly 14-15, 2006
dc.relation.eventnumber6
dc.relation.eventplaceLeipzig (Germany)
dc.relation.eventtitle6th Industrial Conference on Data Mining, ICDM 2006
dc.relation.ispartofseriesLecture notes in computer science
dc.relation.ispartofseries4065/2006
dc.relation.publisherversionhttp://dx.doi.org/10.1007/11790853_30
dc.rights© Springer-Verlag Berlin Heidelberg
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherData mining
dc.subject.otherIntrusion detection
dc.subject.otherIDS
dc.subject.otherEffectiveness
dc.titleEffectiveness evaluation of data mining based IDS
dc.typeconference paper*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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