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Self-Organizing Distributed Intrusion Detection in Mobile Ad Hoc Networks

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Soft Computing as Transdisciplinary Science and Technology

Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

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Abstract

This paper describes the initial results of a research program that is designed to enhance the security of wireless mobile ad hoc networks (MANET) by developing a distributed intrusion detection capability. Our approach uses self-organizing spiking neural networks that have the ability to establish connections across a widely distributed, and highly dynamic network. This capability enables our approach to demonstrate a distributed reasoning functionality that facilitates the detection of complex attacks against MANETs. The results of the evaluation of our approach and a discussion of additional areas of research is presented.

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References

  1. Debar, H., Becke, M., & Siboni, D. (1992). A Neural Network Component for an Intrusion Detection System. In Proceedings of the IEEE Computer Society Symposium on Research in Security and Privacy.

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  6. Ho, TV & Rouat, J. (1999) A Spiking Neural Network For Spatio-Temporal Pattern Detection. Technical Report. Université du Québec à Chicoutimi, Canada, Dept. des Sciences Appliquées.

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Author information

Authors and Affiliations

  1. Center for Information Protection, Higher Education, and Research, Nova Southeastern University, Fort Lauderdale, FL, 33314

    James Cannady Ph.D.

Authors
  1. James Cannady Ph.D.
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, Oklahoma State University, North Greenwood Avenue 700, 74106, Tulsa, USA

    Ajith Abraham

  2. Dept. of Computer Science and Systems Engineering, Muroran Institute of Technology, Mizumoto-cho 27-1, 050-8585, Muroran, Hokkaido, Japan

    Yasuhiko Dote

  3. Dept. of Computational Science and Engineering, Nagoya University, Furo-cho, Chikusa-ku, 464-8601, Nagoya, Aichi-ken, Japan

    Takeshi Furuhashi

  4. Institut für Sicherheits-/Prüftechnik, Fraunhofer IPK Berlin, Pascalstr. 8-9, 10587, Berlin, Germany

    Mario Köppen

  5. Division of Complex Systems Technology Graduate School of Engineering, University of Hokkaido, N-13, W-8 060 KITA-KU, Sapporo, Japan

    Azuma Ohuchi

  6. PRESTO Japan Science & Technology Corp. GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, 12-0012, Tokyo, Japan

    Yukio Ohsawa

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© 2005 Springer-Verlag Berlin Heidelberg

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Cannady, J. (2005). Self-Organizing Distributed Intrusion Detection in Mobile Ad Hoc Networks. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_31

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  • DOI: https://doi.org/10.1007/3-540-32391-0_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25055-5

  • Online ISBN: 978-3-540-32391-4

  • eBook Packages: EngineeringEngineering (R0)

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