Fuzzy logic on decision model for IDS

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dc.contributor.author Orfila, Agustín
dc.contributor.author Carbó Rubiera, Javier Ignacio
dc.contributor.author Ribagorda Garnacho, Arturo
dc.date.accessioned 2010-11-12T09:54:02Z
dc.date.available 2010-11-12T09:54:02Z
dc.date.issued 2003-05
dc.identifier.bibliographicCitation The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ ’03. IEEE, 2003, pp. 1237-1242
dc.identifier.isbn 0-7803-7810-5
dc.identifier.uri http://hdl.handle.net/10016/9576
dc.description Proceeding of: The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03. Sunday 25 May - Wednesday 28 May, 2003, St. Louis, Missouri, USA
dc.description.abstract Nowadays one of the main problems of Intrusion Detection Systems (IDS) is the high rate of false positives that they show. The number of alerts that an IDS launches are clearly higher than the number of real attacks. This paper tries to introduce a measure of the IDS prediction skill in close relationship with these false positives. So the prediction skill of an IDS is then computed according to the false positives produced. The problem faced is how to make an accurate prediction from the results of different IDS. The fraction of IDS over the total number of them that predicts a given event will determine whether such event is predicted or not. The performance obtained from the application of fuzzy thresholds over such fraction is compared with the corresponding crisp thresholds. The results of these comparisons allow us to conclude a relevant improvement when fuzzy thresholds are involved.
dc.format.mimetype text/plain
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © IEEE
dc.subject.other Fuzzy logic
dc.subject.other IDS
dc.subject.other Intrusion detection
dc.title Fuzzy logic on decision model for IDS
dc.type bookPart
dc.type conferenceObject
dc.type.review PeerReviewed
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1109/FUZZ.2003.1206608
dc.subject.eciencia Informática
dc.identifier.doi 10.1109/FUZZ.2003.1206608
dc.rights.accessRights openAccess
dc.relation.eventdate 25 - 28 May, 2003
dc.relation.eventnumber 12
dc.relation.eventtitle The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03
dc.identifier.publicationfirstpage 1237
dc.identifier.publicationlastpage 1242
dc.identifier.publicationtitle The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ ’03
dc.affiliation.dpto UC3M. Departamento de Informática
dc.affiliation.grupoinv UC3M. Grupo de Investigación: COSEC (Computer SECurity Lab)
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