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dc.contributor.authorNavarro, Martí
dc.contributor.authorHerrero Cosío, Álvaro
dc.contributor.authorCorchado Rodríguez, Emilio Santiago 
dc.contributor.authorJulián Inglada, Vicente
dc.date.accessioned2017-09-06T09:14:56Z
dc.date.available2017-09-06T09:14:56Z
dc.date.issued2010
dc.identifier.citationSoft Computing Models in Industrial and Environmental Applications, 5th International Workshop (SOCO 2010) Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 73, pp. 9-18.
dc.identifier.isbn978-3-642-13160-8 (Print) / 978-3-642-13161-5 (Online)
dc.identifier.issn1867-5662 (Print) / 1867-5670 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134929
dc.description.abstractThis paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time processing and response. The original formulation of MOVICAB-IDS combines artificial neural networks and case-based reasoning within a multiagent system to perform Intrusion Detection in dynamic computer networks. The contribution of the anytime algorithm, one of the most promising to adapt Artificial Intelligent techniques to real-time requirements; is comprehensively presented in this work.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleApproaching Real-Time Intrusion Detection through MOVICAB-IDS
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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