Título
Approaching Real-Time Intrusion Detection through MOVICAB-IDS
Autor(es)
Palabras clave
Fecha de publicación
2010
Editor
Springer Science + Business Media
Citación
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.
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.
URI
ISBN
978-3-642-13160-8 (Print) / 978-3-642-13161-5 (Online)
ISSN
1867-5662 (Print) / 1867-5670 (Online)
Collections
