Approaching Real-Time Intrusion Detection through MOVICAB-IDS

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Approaching Real-Time Intrusion Detection through MOVICAB-IDS
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. Keywords Multiagent Systems, Hybrid Artificial Intelligent Systems, Computer Network Security, Intrusion Detection, Temporal Constraints, Time Bounded Deliberative Process.
Martí Navarro, Álvaro Herrero, Emili
Added 30 Jan 2011
Updated 30 Jan 2011
Type Journal
Year 2010
Authors Martí Navarro, Álvaro Herrero, Emilio Corchado, Vicente Julián
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