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Recognizing Anomalies/Intrusions in Heterogeneous Networks

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Computer Recognition Systems 3

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 57))

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Summary

In this paper innovative recognition algorithm applied to Intrusion and/or Anomaly Detection System presented. We propose to use Matching Pursuit Mean Projection (MP-MP) of the reconstructed network signal to recognize anomalies/intrusions in network traffic. The practical usability of the proposed approach in the intrusion detection tolerance system (IDTS) in the INTERSECTION project is presented.

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© 2009 Springer-Verlag Berlin Heidelberg

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Choraś, M., Saganowski, Ł., Renk, R., Kozik, R., Hołubowicz, W. (2009). Recognizing Anomalies/Intrusions in Heterogeneous Networks. In: Kurzynski, M., Wozniak, M. (eds) Computer Recognition Systems 3. Advances in Intelligent and Soft Computing, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93905-4_67

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  • DOI: https://doi.org/10.1007/978-3-540-93905-4_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-93904-7

  • Online ISBN: 978-3-540-93905-4

  • eBook Packages: EngineeringEngineering (R0)

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