Skip to main content
SpringerLink
Log in
Book cover

Neural Networks and Soft Computing pp 644–649Cite as

Formal Neuro-Immune Network

  • Conference paper

  • 349 Accesses

Part of the book series: Advances in Soft Computing ((AINSC,volume 19))

Abstract

The paper presents an attempt to introduce a new formal notion of Neuro-Immune Network (NIN) based on a rigorous mathematical basis. This notion is inspired by a biological phenomenon of reciprocal impact between the neural and immune systems. The paper considers examples of NIN including a possible application to intrusion detection in computer networks.

This is a preview of subscription content, 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   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ader R, Felten D, Cohen N (eds) (2000) Psycho-neuro-immunology. Academic Press, New York

    Google Scholar 

  2. Bay SD (1999) The UCI KDD archive [http://kdd.ics.uci.edu]. University of California, Dept. of Information and Computer Science, Irvine, CA

    Google Scholar 

  3. Chebira A, Madani K, Mercier G (1997) Multi-neural networks hardware and software architecture: application to divide to simplify paradigm DTS. LNCS Vol. 1240, Springer Verlag, 1977, pp. 841–850.

    Google Scholar 

  4. Dasgupta D. (1999) Artificial Immune Systems and their Applications. Springer.

    Google Scholar 

  5. DeBoer RJ, Segel LA, Perelson AS (1992) Pattern formation in one and two-dimensional shape space models of the immune system. J Theoret Biol 155: 295–333

    Article  Google Scholar 

  6. Hori T, et al. (1995) The autonomic nervous system as a communication channel between the brain and the immune system. Neuroimmunomodulation 2: 203–215

    Article  Google Scholar 

  7. Horn R, Johnson C (1986) Matrix analysis. Cambridge University Press

    Google Scholar 

  8. Jerne NK (1974) Towards a network theory of the immune system. Ann Immunol (Inst. Pasteur) 125C: 373–389

    Google Scholar 

  9. Krogh A, Vedelsby J, Neural network ensembles, cross validation, and active learning. In: Tesauro G (ed) Advances in neural information processing systems 7. MIT Press, pp 231–238

    Google Scholar 

  10. Tarakanov A (1999) Formal peptide as a basic agent of immune networks: from natural prototype to mathematical theory and applications. In: Proc. 1st int. workshop of central and eastern Europe on multi-agent systems (CEEMAS’99). St.Petersburg, Russia, pp 281–292

    Google Scholar 

  11. Tarakanov AO (2001) Information security with formal immune networks. In: Gorodetsky VI, Skormin VA, Popyack LJ (eds) Information Assurance in Computer Networks (Lecture Notes in Computer Science). Springer, Berlin, pp 115–126

    Chapter  Google Scholar 

  12. Tarakanov A, Dasgupta D (2000) A formal model of an artificial immune system. Bio-Systems 55 (1–3): 151–158

    Article  Google Scholar 

  13. Tarakanov A, Skormin V (2002) Pattern recognition by immunocomputing (accepted to the 2002 Congress on Evolutionary Computation. Honolulu, USA )

    Google Scholar 

  14. Wasserman P (1990) Neural computing. Theory and practice. Van Nostrand Reihold, New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. St.Petersburg Institute for Informatics, Automation of Russian Academy of Sciences (SPIIRAS), 14-th Line, 39, 199178, St-Petersburg, Russia

    Alexander Tarakanov & Georgy Penev

  2. Intelligence in Instrumentation and Systems Lab. (I2S) — SENART Institute of Technology, University PARIS XII, Avenue Pierre POINT, F-77127, Lieusaint, France

    Kurosh Madani

Authors
  1. Alexander Tarakanov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Georgy Penev
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kurosh Madani
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Technical University Częstochowa, Al. Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tarakanov, A., Penev, G., Madani, K. (2003). Formal Neuro-Immune Network. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_99

Download citation

  • DOI: https://doi.org/10.1007/978-3-7908-1902-1_99

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0005-0

  • Online ISBN: 978-3-7908-1902-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation