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dc.contributor.authorSánchez, Raúl 
dc.contributor.authorHerrero Cosío, Álvaro 
dc.contributor.authorCorchado, Emilio 
dc.date.accessioned2015-09-30T11:25:25Z
dc.date.available2015-09-30T11:25:25Z
dc.date.issued2013-10
dc.identifier.issn0196-9722
dc.identifier.urihttp://hdl.handle.net/10259/3859
dc.description.abstractAccurate intrusion detection is still an open challenge. The present work aims at being one step toward that purpose by studying the combination of clustering and visualization techniques. To do that, the mobile visualization connectionist agent-based intrusion detection system (MOVICAB-IDS), previously proposed as a hybrid intelligent IDS based on visualization techniques, is upgraded by adding automatic response thanks to clustering methods. To check the validity of the proposed clustering extension, it has been applied to the identification of different anomalous situations related to the simple network management network protocol by using real-life data sets. Different ways of applying neural projection and clustering techniques are studied in the present article. Through the experimental validation it is shown that the proposed techniques could be compatible and consequently applied to a continuous network flow for intrusion detectionen
dc.description.sponsorshipSpanish Ministry of Economy and Competitiveness with ref: TIN2010-21272-C02-01 (funded by the European Regional Development Fund) and SA405A12-2 from Junta de Castilla y Leon.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherTaylor & Francisen
dc.relation.ispartofCybernetics and Systems: An International Journal. 2013, V. 44, n. 6-7, p. 505-532en
dc.subjectAutomatic responseen
dc.subjectClusteringen
dc.subjectComputational intelligenceen
dc.subjectExploratory projection pursuiten
dc.subjectk-meansen
dc.subjectNetwork intrusion detectionen
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.titleVisualization and clustering for SNMP intrusion detectionen
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.relation.publisherversionhttp://dx.doi.org/10.1080/01969722.2013.803903
dc.identifier.doi10.1080/01969722.2013.803903
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/TIN2010-21272-C02-01
dc.relation.projectIDinfo:eu-repo/grantAgreement/JCyL/SA405A12-2
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersionen


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