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When a Family of Iris Flower is Normal, Then are Others Abnormal?

  • Akira Imada
Conference paper

Abstract

This article is not a report of success but rather a challenge to those who claim to have successfully designed a network intrusion detection system by means of a machine learning technique using arti.cial dataset to train and to test the system.

Keywords

False Alarm Rate Intrusion Detection Intrusion Detection System Attack Data Attack Detector 
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. [1]
    A. Imada (2006) “How Many Parachutists will be Needed to Find a Needle in a Pastoral? – Who is a lucky one?” Proceedings of the International Conference on Neural Networks and Artificial Intelligence, pp. 53–60.Google Scholar
  2. [2]
    G. Castellano, and A. M. Fanelli(2000) “Fuzzy Inference and Rule Extraction using a Neural Network.” Neural Network World Journal Vol. 3, pp. 361–371.Google Scholar
  3. [3]
    M. Sabhnani, and G. Serpen (2003) “Application of Machine Learning Algorithms to KDD Intrusion Detection Dataset within Misuse Detection Context.” Proceedings of the International Conference on Machine Learning: Models, Technologies and Applications, pp. 209–215.Google Scholar
  4. [4]
    M. Ayara, J. Timmis, R. D. Lemos, L. N. D. Castro, and R. Duncan (2002) “Negative Selection: How to Generate Detectors.” Proceedings of 1st International Conference on Artificial Immune Systems, pp. 89–98.Google Scholar
  5. [5]
    J. Gomez, F. Gonzalez, and D. Dasgupta (2003) “An Immuno-Fuzzy Approach to Anomaly Detection.” Proceedings of IEEE International Conference on Fuzzy Systems, Vol. 2, pp. 1219–1224.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Akira Imada
    • 1
  1. 1.Brest State Technical UniversityMoskowskaja 267

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