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dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorZurutuza, Urko
dc.contributor.authorUribeetxeberria, Roberto
dc.contributor.authorAzketa, E.
dc.contributor.authorGil, G.
dc.contributor.authorLizarraga Durandegui, Jesús María
dc.contributor.authorFernández Arrieta, Miguel
dc.date.accessioned2024-04-29T14:22:59Z
dc.date.available2024-04-29T14:22:59Z
dc.date.issued2007
dc.identifier.isbn9789898111128en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=58008en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6388
dc.description.abstractThis paper presents the results of the project MIAU, a data mining approach for intrusion detection alert correlation. MIAU combines different data mining techniques in order to properly solve some existing problems in the management and analysis of alerts generated by actual intrusion detection systems. Some of these data mining methods and their application to MIAU are introduced in this paper. Experiments have been carried out with the purpose of demonstrating the validity of the proposed model and some conclusions about them are extracted. Finally, some possible improvements for the system and further work are exposed.en
dc.language.isoengen
dc.publisherScitepressen
dc.rights© SciTePressen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectComputer securityen
dc.subjectintrusion detectionen
dc.subjectalert correlationen
dc.subjectdata miningen
dc.titleCombined data mining approach for intrusion detectionen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceInternational Conference on Security and Cryptography (SECRYPT)en
local.contributor.groupAnálisis de datos y ciberseguridades
local.description.peerreviewedtrueen
local.identifier.doi10.5220/0002122800670073en
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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Registro sencillo

Attribution-NonCommercial-NoDerivatives 4.0 International
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International