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A Neural Model in Intrusion Detection Systems

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Artificial Neural Networks – ICANN 2006 (ICANN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4132))

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Abstract

The paper proposes the use of the multilayer perceptron model to the problem of detecting attack patterns in computer networks. The multilayer perceptron is trained and assessed on patterns extracted from the files of the Third International Knowledge Discovery and Data Mining Tools Competition. It is required to classify novel normal patterns and novel categories of attack patterns. The results are presented and evaluated in the paper.

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Author information

Authors and Affiliations

  1. Research Group on Computer Networks and Software Engineering, Federal University of Itajubá, 37500–903, Itajubá, MG, Brazil

    Otávio A. S. Carpinteiro, Roberto S. Netto, Isaías Lima, Antonio C. Zambroni de Souza, Edmilson M. Moreira & Carlos A. M. Pinheiro

Authors
  1. Otávio A. S. Carpinteiro
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  2. Roberto S. Netto
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  3. Isaías Lima
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  4. Antonio C. Zambroni de Souza
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  5. Edmilson M. Moreira
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  6. Carlos A. M. Pinheiro
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Editor information

Editors and Affiliations

  1. School of Electrical and Computer Engineering, Image, Video and Multimedia Systems Laboratory, National Technical University of Athens, 157 80, Zographou, GR, Greece

    Stefanos Kollias

  2. Department of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zographou, Greece

    Andreas Stafylopatis

  3. Department of Informatics, Nicolaus Copernicus University, Toruń, Poland

    Włodzisław Duch

  4. Adaptive Informatics Research Centre, Helsinki University of Technology, P.O. Box 5400, 02015, HUT, Finland

    Erkki Oja

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© 2006 Springer-Verlag Berlin Heidelberg

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Carpinteiro, O.A.S., Netto, R.S., Lima, I., de Souza, A.C.Z., Moreira, E.M., Pinheiro, C.A.M. (2006). A Neural Model in Intrusion Detection Systems. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840930_89

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  • DOI: https://doi.org/10.1007/11840930_89

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38871-5

  • Online ISBN: 978-3-540-38873-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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