Skip to main content
SpringerLink
Log in

Intelligent FTBint Method for Server Resources Protection

  • Conference paper
  • First Online:
Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery (BDAS 2015, BDAS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 613))

Abstract

The subject of this article is the issue of security of network resources in computer networks. One of the main problems of computer networks are Distributed Denial of Service attacks, which can take all server resources and block them. The FTBint intelligent method can manage the amount of network traffic passed to a server and help the server to work during the attack. After the attack is recognized the number of connections provided to the server can be changed in time in an intelligent way. Such solution gives time to the server to dispose of the resources which were allocated incorrectly by the attacker. This new concept is different from the one used in the currently existing methods, as it enables the user to finish his work which had been started before the attack occured. Such user does not suffer from DDoS attacks when the FTBint method is used. The proposed method has already been tested.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Angryk, R.A., Czerniak, J.: Heuristic algorithm for interpretation of multi-valued attributes in similarity-based fuzzy relational databases. Int. J. Approximate Reasoning 51(8), 895–911 (2010)

    Article  Google Scholar 

  2. Apiecionek, Ł., Czerniak, J.M., Zarzycki, H.: Protection tool for distributed denial of services attack. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2014. CCIS, vol. 424, pp. 405–414. Springer, Heidelberg (2014)

    Google Scholar 

  3. CA-1996-01, C.A.: UDP port denial-of-service attack. http://www.cert.org/advisories/CA-1996-01.html

  4. CA-1996-21, C.A.: TCP syn flooding and ip spoofing attacks. http://www.cert.org/advisories/CA-1996-21.html

  5. Chang, R.K.: Defending against flooding-based distributed denial-of-service attacks: a tutorial. IEEE Commun. Mag. 40(10), 42–51 (2002)

    Article  Google Scholar 

  6. Czerniak, J.: Evolutionary approach to data discretization for rough sets theory. Fund. Inform. 92(1–2), 43–61 (2009)

    MathSciNet  Google Scholar 

  7. Czerniak, J.M., Apiecionek, Ł., Zarzycki, H.: Application of ordered fuzzy numbers in a new OFNAnt algorithm based on ant colony optimization. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2014. CCIS, vol. 424, pp. 259–270. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  8. Dobrosielski, W.T., Szczepański, J., Zarzycki, H.: A proposal for a method of defuzzification based on the golden ratio-GR. In: Atanassov, K.T., et al. (eds.) Novel Developments in Uncertainty Representation and Processing. AISC, vol. 401, pp. 75–84. Springer, Switzerland (2016). http://dx.doi.org/10.1007/978-3-319-26211-6_7

    Chapter  Google Scholar 

  9. Ewald, D., Czerniak, J.M., Zarzycki, H.: Approach to solve a criteria problem of the ABC algorithm used to the WBDP multicriteria optimization. In: Angelov, P., et al. (eds.) IS 2014. AISC, vol. 322, pp. 129–137. Springer, Heidelberg (2015)

    Google Scholar 

  10. Kosiński, W., Prokopowicz, P., Ślęzak, D.: On algebraic operations on fuzzy reals. In: Rutkowski, L., Kacprzyk, J. (eds.) Neural Networks and Soft Computing. ASC, vol. 19, pp. 54–61. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  11. Moore, D., Shannon, C., Brown, D.J., Voelker, G.M., Savage, S.: Inferring internet denial-of-service activity. ACM Trans. Comput. Syst. (TOCS) 24(2), 115–139 (2006)

    Article  Google Scholar 

  12. Schuba, C.L., Krsul, I.V., Kuhn, M.G., Spafford, E.H., Sundaram, A., Zamboni, D.: Analysis of a denial of service attack on TCP. In: 1997 IEEE Symposium on Security and Privacy, pp. 208–223. IEEE (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Technology, Casimir the Great University in Bydgoszcz, ul. Chodkiewicza 30, 85-064, Bydgoszcz, Poland

    Łukasz Apiecionek

  2. TELDAT Sp. z o. o.sp.k., Bydgoszcz, Poland

    Wojciech Makowski

Authors
  1. Łukasz Apiecionek
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wojciech Makowski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Łukasz Apiecionek .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Apiecionek, Ł., Makowski, W. (2016). Intelligent FTBint Method for Server Resources Protection. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery. BDAS BDAS 2015 2016. Communications in Computer and Information Science, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-34099-9_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-34099-9_53

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-34098-2

  • Online ISBN: 978-3-319-34099-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation