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.

• Type: Journal
• Year: 2010
• Where: SOFTCOMP
• Authors: Martí Navarro, Álvaro Herrero, Emilio Corchado, Vicente Julián
• Keywords: Applied Computing, Artificial Intelligent, Intelligent Intrusion Detection, Intrusion Detection, SOFTCOMP 2010