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IFIP International Conference on Autonomous Infrastructure, Management and Security

AIMS 2012: Dependable Networks and Services pp 118–121Cite as

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Network Anomaly Detection: Comparison and Real-Time Issues

Network Anomaly Detection: Comparison and Real-Time Issues

  • Václav Bartoš20 &
  • Martin Žádník20 
  • Conference paper
  • 1115 Accesses

  • 1 Citations

Part of the Lecture Notes in Computer Science book series (LNCCN,volume 7279)

Abstract

This paper discusses several issues of evaluation and comparison of anomaly detection algorithms, namely lack of publicly available implementations and annotated data sets. Another problem of many methods is a detection delay caused by operating on data binned to a long time intervals. The paper presents a library under development which aims to tackle the comparison and evaluation issues. Further, the paper proposes a novel anomaly detection approach that can contribute to anomaly detection in real-time.

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References

  1. Mawi traffic archive, http://mawi.wide.ad.jp/mawi/

  2. Estan, C., Keys, K., Moore, D., Varghese, G.: Building a better netflow. SIGCOMM Computer Communication Review 34, 245–256 (2004)

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  3. Patcha, A., Park, J.M.: An overview of anomaly detection techniques: Existing solutions and latest technological trends. Computer Networks 51 (August 2007)

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Author information

Authors and Affiliations

  1. IT4Innovations Centre of Excellence, Faculty of Information Technology, Brno University of Technology, Božetěchova 2, Brno, Czech Republic

    Václav Bartoš & Martin Žádník

Authors
  1. Václav Bartoš
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  2. Martin Žádník
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Mathematics, and Computer Science, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands

    Ramin Sadre

  2. Institute of Computer Science, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Jiří Novotný & Pavel Čeleda & 

  3. Institut für Informatik (IFI), Universität Zürich, Binzmühlestraße 14, 8050, Zürich, Switzerland

    Martin Waldburger

  4. Institut für Informatik (IFI), Universität Zürich, Binzmühlestrasse 14, 8050, Zürich, Switzerland

    Burkhard Stiller

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© 2012 IFIP International Federation for Information Processing

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Cite this paper

Bartoš, V., Žádník, M. (2012). Network Anomaly Detection: Comparison and Real-Time Issues. In: Sadre, R., Novotný, J., Čeleda, P., Waldburger, M., Stiller, B. (eds) Dependable Networks and Services. AIMS 2012. Lecture Notes in Computer Science, vol 7279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30633-4_15

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  • DOI: https://doi.org/10.1007/978-3-642-30633-4_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30632-7

  • Online ISBN: 978-3-642-30633-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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