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dc.contributor.author | Herrero Cosío, Álvaro | |
dc.contributor.author | Corchado Rodríguez, Emilio Santiago | |
dc.contributor.author | Sáiz, José M. | |
dc.date.accessioned | 2017-09-06T09:16:16Z | |
dc.date.available | 2017-09-06T09:16:16Z | |
dc.date.issued | 2006/09 | |
dc.identifier.citation | Intelligent Data Engineering and Automated Learning – IDEAL 2006 Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 4224, pp. 1424-1433. | |
dc.identifier.isbn | 978-3-540-45485-4 (Print) / 978-3-540-45487-8 (Online) | |
dc.identifier.issn | 0302-9743 (Print) / 1611-3349 (Online) | |
dc.identifier.uri | http://hdl.handle.net/10366/135070 | |
dc.description.abstract | MOVICAB-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.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.publisher | Springer Science + Business Media | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Unported | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ | |
dc.subject | Computer Science | |
dc.title | MOVICAB-IDS: Visual Analysis of Network Traffic Data Streams for Intrusion Detection | |
dc.type | info:eu-repo/semantics/article | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess |
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