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oai:gredos.usal.es:10366/1350352025-04-30T20:38:52Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134486

2017-09-06T09:15:56Z urn:hdl:10366/135035 Hybrid Multi Agent-Neural Network Intrusion Detection with Mobile Visualization Herrero Cosío, Álvaro Corchado Rodríguez, Emilio Santiago Pellicer Figueras, María A. Abraham, Ajith P. Computer Science A multiagent system that incorporates an Artificial Neural Networks based Intrusion Detection System (IDS) has been defined to guaranty an efficient computer network security architecture. The proposed system facilitates the intrusion detection in dynamic networks. This paper presents the structure of the Mobile Visualization Connectionist Agent-Based IDS, more flexible and adaptable. The proposed improvement of the system in this paper includes deliberative agents that use the artificial neural network to identify intrusions in computer networks. The agent based system has been probed through anomalous situations related to the Simple Network Management Protocol. 2017-09-06T09:15:56Z 2017-09-06T09:15:56Z 2007 info:eu-repo/semantics/conferenceObject Innovations in Hybrid Intelligent Systems Advances in Soft Computing. Advances in Soft Computing. Volumen 44, pp. 320-328. 978-3-540-74971-4 (Online) / 978-3-540-74972-1 (Print) 1867-5662 (Print) http://hdl.handle.net/10366/135035 en https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivs 3.0 Unported Springer Science + Business Media