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Título : RT-MOVICAB-IDS: Addressing real-time intrusion detection
Autor : Herrero, Alvaro
Navarro, Marti
Corchado, Emilio
Vicente, Julián
Publicado en: Future Generation Computer Systems. 2013, V. 29, n. 1, p. 250–261
Editorial : Elsevier
Fecha de publicación : ene-2013
ISSN : 0167-739X
DOI: 10.1016/j.future.2010.12.017
Resumen : This study presents a novel Hybrid Intelligent Intrusion Detection System (IDS) known as RT-MOVICAB-IDS that incorporates temporal control. One of its main goals is to facilitate real-time Intrusion Detection, as accurate and swift responses are crucial in this field, especially if automatic abortion mechanisms are running. The formulation of this hybrid IDS combines Artificial Neural Networks (ANN) and Case-Based Reasoning (CBR) within a Multi-Agent System (MAS) to detect intrusions in dynamic computer networks. Temporal restrictions are imposed on this IDS, in order to perform real/execution time processing and assure system response predictability. Therefore, a dynamic real-time multi-agent architecture for IDS is proposed in this study, allowing the addition of predictable agents (both reactive and deliberative). In particular, two of the deliberative agents deployed in this system incorporate temporal-bounded CBR. This upgraded CBR is based on an anytime approximation, which allows the adaptation of this Artificial Intelligence paradigm to real-time requirements. Experimental results using real data sets are presented which validate the performance of this novel hybrid IDS
Palabras clave: Hybrid Artificial Intelligent Systems
Unsupervised learning
Artificial Neural Networks
Multi-Agent systems
Case-based reasoning
Computer network security
Intrusion detection
Time-bounded deliberative process
URI : http://hdl.handle.net/10259/3858
Versión del editor: http://dx.doi.org/10.1016/j.future.2010.12.017
Aparece en las colecciones: Artículos GICAP

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