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IFIP International Conference on Autonomous Infrastructure, Management and Security

AIMS 2012: Dependable Networks and Services pp 113–117Cite as

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Distributed Self-organized Collaboration of Autonomous IDS Sensors

Distributed Self-organized Collaboration of Autonomous IDS Sensors

  • Karel Bartos20 &
  • Martin Rehak20 
  • Conference paper
  • 1099 Accesses

Part of the Lecture Notes in Computer Science book series (LNCCN,volume 7279)

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.

Keywords

  • False Alarm Rate
  • Intrusion Detection
  • Intrusion Detection Network
  • Regret Minimization
  • Alert Correlation

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Blum, A., Mansour, Y.: Learning, regret minimization and equilibria. In: Algorithmic Game Theory, ch. 4, pp. 79–101. Cambridge University Press (2007)

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  2. Elshoush, H.T., Osman, I.M.: Alert correlation in collaborative intelligent intrusion detection systems–a survey. Applied Soft Computing (2011)

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  3. Rehak, M., Pechoucek, M., Grill, M., Stiborek, J., Bartos, K., Celeda, P.: Adaptive multiagent system for network traffic monitoring. IEEE Intelligent Systems 24(3), 16–25 (2009)

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  4. Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. The MIT Press (March 1998)

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic

    Karel Bartos & Martin Rehak

Authors
  1. Karel Bartos
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  2. Martin Rehak
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Mathematics, and Computer Science, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands

    Ramin Sadre

  2. Institute of Computer Science, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Jiří Novotný & Pavel Čeleda & 

  3. Institut für Informatik (IFI), Universität Zürich, Binzmühlestraße 14, 8050, Zürich, Switzerland

    Martin Waldburger

  4. Institut für Informatik (IFI), Universität Zürich, Binzmühlestrasse 14, 8050, Zürich, Switzerland

    Burkhard Stiller

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© 2012 IFIP International Federation for Information Processing

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Cite this paper

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

  • eBook Packages: Computer ScienceComputer Science (R0)

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