Abstract
We present distributed self-organized model for collaboration of multiple heterogeneous IDS sensors. The adaptation model is based on a game-theoretical approach that optimizes the behavior of each IDS node with respect to other nodes in highly dynamic environment. We performed initial experimental evaluation of the proposed collaboration model on two autonomous IDS detectors deployed on different parts of university network. We show that this Intrusion Detection Network significantly improves the detection effectiveness and brings advanced defensive mechanism against novel highly sophisticated threats.
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Bartos, K., Rehak, M. (2012). Distributed Self-organized Collaboration of Autonomous IDS Sensors. In: Sadre, R., Novotný, J., Čeleda, P., Waldburger, M., Stiller, B. (eds) Dependable Networks and Services. AIMS 2012. Lecture Notes in Computer Science, vol 7279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30633-4_14
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DOI: https://doi.org/10.1007/978-3-642-30633-4_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30632-7
Online ISBN: 978-3-642-30633-4
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