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dc.contributor.authorQuintián, Héctor
dc.contributor.authorJove, Esteban
dc.contributor.authorCasteleiro-Roca, José-Luis
dc.contributor.authorUrda Muñoz, Daniel
dc.contributor.authorArroyo Puente, Ángel
dc.contributor.authorCalvo-Rolle, José Luis
dc.contributor.authorHerrero Cosío, Álvaro 
dc.contributor.authorCorchado, Emilio 
dc.date.accessioned2022-05-04T13:38:27Z
dc.date.available2022-05-04T13:38:27Z
dc.date.issued2022-02
dc.identifier.issn1367-0751
dc.identifier.urihttp://hdl.handle.net/10259/6635
dc.description.abstractDetecting intrusions in large networks is a highly demanding task. In order to reduce the computation demand of analysing every single packet travelling along one of such networks, some years ago flows were proposed as a way of summarizing traffic information. Very few research works have addressed intrusion detection in flows from a visualizations perspective. In order to bridge this gap, the present paper proposes the application of a novel projection method (Beta Hebbian Learning) under this framework. With the aim to validate this method, 8 traffic segments, containing many flows, have been analysed by means of this projection method. The promising results obtained for these segments, extracted from the University of Twente dataset, validate the proposed application.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherOxford University Pressen
dc.relation.ispartofLogic Journal of the IGPL. 2022en
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectIntrusion detectionen
dc.subjectTraffic flowen
dc.subjectExploratory projection pursuiten
dc.subjectVisualizationen
dc.subjectArtificial neural networksen
dc.subjectUnsupervised learningen
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.titleAdvanced Visualization of Intrusions in Flows by Means of Beta-Hebbian Learningen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.1093/jigpal/jzac013es
dc.identifier.doi10.1093/jigpal/jzac013
dc.identifier.essn1368-9894
dc.journal.titleLogic Journal of the IGPLen
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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