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dc.contributor.authorHerrero Cosío, Álvaro
dc.contributor.authorCorchado Rodríguez, Emilio Santiago 
dc.contributor.authorSáiz, José M.
dc.identifier.citationIntelligent Data Engineering and Automated Learning – IDEAL 2006 Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 4224, pp. 1424-1433.
dc.identifier.isbn978-3-540-45485-4 (Print) / 978-3-540-45487-8 (Online)
dc.identifier.issn0302-9743 (Print) / 1611-3349 (Online)
dc.description.abstractMOVICAB-IDS enables the more interesting projections of a massive traffic data set to be analysed, thereby providing an overview of any possible anomalous situations taking place on a computer network. This IDS responds to the challenges presented by traffic volume and diversity. It is a connectionist agent-based model extended by means of a functional and mobile visualization interface. The IDS is designed to be more flexible, accessible and portable by running on a great variety of applications, including small mobile ones such as PDA’s, mobile phones or embedded devices. Furthermore, its effectiveness has been demonstrated in different tests.
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.subjectComputer Science
dc.titleMOVICAB-IDS: Visual Analysis of Network Traffic Data Streams for Intrusion Detection

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