dc.contributor.author | Navarro, Martí | |
dc.contributor.author | Herrero Cosío, Álvaro | |
dc.contributor.author | Corchado Rodríguez, Emilio Santiago | |
dc.contributor.author | Julián Inglada, Vicente | |
dc.date.accessioned | 2017-09-06T09:14:56Z | |
dc.date.available | 2017-09-06T09:14:56Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Soft 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.isbn | 978-3-642-13160-8 (Print) / 978-3-642-13161-5 (Online) | |
dc.identifier.issn | 1867-5662 (Print) / 1867-5670 (Online) | |
dc.identifier.uri | http://hdl.handle.net/10366/134929 | |
dc.description.abstract | This 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.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 | Approaching Real-Time Intrusion Detection through MOVICAB-IDS | |
dc.type | info:eu-repo/semantics/article | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |