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Game Theoretical Adaptation Model for Intrusion Detection System - Demo Paper

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Advances on Practical Applications of Agents and Multi-Agent Systems

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 155))

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Abstract

We present a self-adaptation mechanism for Network Intrusion Detection System which uses a game-theoretical mechanism to increase system robustness against targeted attacks on IDS adaptation. This system has been used to ensure the robustness of commercially provided software used by clients throughout the world. It is particularly important to prevent the long-term persistence of advanced attackers operating in the compromised networks by relying on the game-theoretical mechanism to ensure the long-term diversity of the detection boundary.

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References

  1. Rehák, M., Staab, E., Fusenig, V., Pechoucek, M., Grill, M., Stiborek, J., Bartos, K., Engel, T.: Runtime monitoring and dynamic reconfiguration for intrusion detection systems. In: Kirda, E., Jha, S., Balzarotti, D. (eds.) 12th International Symposium on Recent Advances in Intrusion Detection, RAID 2009, Saint-Malo, France, September 23-25, pp. 61–80 (2009)

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  2. Rehak, M., Staab, E., Pechoucek, M., Stiborek, J., Grill, M., Bartos, K.: Dynamic information source selection for intrusion detection systems. In: Decker, K.S., Sichman, J.S., Sierra, C., Castelfranchi, C. (eds.) Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), pp. 1009–1016. IFAAMAS (2009)

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

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Correspondence to Jan Stiborek .

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© 2012 Springer-Verlag Berlin Heidelberg

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Stiborek, J., Grill, M., Rehak, M., Bartos, K., Jusko, J. (2012). Game Theoretical Adaptation Model for Intrusion Detection System - Demo Paper. In: Demazeau, Y., Müller, J., Rodríguez, J., Pérez, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28786-2_40

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  • DOI: https://doi.org/10.1007/978-3-642-28786-2_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28785-5

  • Online ISBN: 978-3-642-28786-2

  • eBook Packages: EngineeringEngineering (R0)

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