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The Proposal of Fuzzy Observation and Detection of Massive Data DDOS Attack Threat

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Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives (IWIFSGN 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1081))

Abstract

This article presents a potential implementation of OFN notation for discovering and protecting network from Distributed Denial of Service attacks. DDoS attacks are able to block web servers and could be launched from any place in the network. In this article some real experimental results are presented. The prepared network and DDoS attack tool was used for collecting massive data of IP packets, then OFN implementation was used for discovering attacks. As a results, the authors present a problem and tool which, once implemented in IP network, could deal with DDoS attack using OFN notation.

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Acknowledgment

This article is based upon work from COST Action IC1406 High-Performance Modeling and Simulation for Big Data Applications (cHiPSet), supported by COST (European Cooperation in Science and Technology).

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Authors and Affiliations

  1. Department of Computer Science, Casimir the Great University in Bydgoszcz, ul. Chodkiewicza 30, 85-064, Bydgoszcz, Poland

    Łukasz Apiecionek, Jacek M. Czerniak & Dawid Ewald

  2. University of Information Technology and Management Copernicus, ul. Inowroclawska 56, 53-648, Wroclaw, Poland

    Hubert Zarzycki

Authors
  1. Hubert Zarzycki
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  2. Łukasz Apiecionek
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  3. Jacek M. Czerniak
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  4. Dawid Ewald
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Corresponding author

Correspondence to Jacek M. Czerniak .

Editor information

Editors and Affiliations

  1. Department of Bioinformatics and Mathematical Modelling, Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering, Sofia, Bulgaria

    Krassimir T. Atanassov

  2. Department of Bioinformatics and Mathematical Modelling, Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering, Sofia, Bulgaria

    Vassia Atanassova

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Andrzej Kaluszko

  5. WIT- Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

  6. Polish Acadamy of Sciences, Systems Research Institute, Warsaw, Poland

    Jan W. Owsinski

  7. Intelligent Systems Laboratory, Faculty of Technical Sciences, Bourgas, Bulgaria

    Sotir Sotirov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University, Burgas, Bulgaria

    Evdokia Sotirova

  9. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Eulalia Szmidt

  10. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland

    Slawomir Zadrozny

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Zarzycki, H., Apiecionek, Ł., Czerniak, J.M., Ewald, D. (2021). The Proposal of Fuzzy Observation and Detection of Massive Data DDOS Attack Threat. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. IWIFSGN 2018. Advances in Intelligent Systems and Computing, vol 1081. Springer, Cham. https://doi.org/10.1007/978-3-030-47024-1_34

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