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International Conference on ISMAC in Computational Vision and Bio-Engineering

ISMAC 2018: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) pp 883–893Cite as

An Intrusion Detection and Prevention System Using AIS—An NK Cell-Based Approach

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Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 30))

Abstract

The widespread use of internet in key areas has increased unauthorized attacks in the network. Intrusion detection and prevention system detects as well as prevents the attacks on confidentiality, integrity, and availability of the system. In this paper, an Artificial Immune System based intrusion detection and prevention system is designed using artificial Natural Killer (NK) cells. Random NK cells are generated and negative selection algorithm is applied to eliminate self-identifying cells. These cells detect attacks on the network. High health value cells that detect a large number of attacks are proliferated into the network. When the proliferation reaches a threshold, the NK cells are migrated into the intrusion prevention system. So NK cells in IDS are in promiscuous mode and NK cells in IPS are in inline mode. The technique yields high detection rate, better accuracy and low response time.

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Author information

Authors and Affiliations

  1. Department of Banking Technology, Pondicherry University, Pondicherry, India

    B. J. Bejoy & S. Janakiraman

Authors
  1. B. J. Bejoy
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  2. S. Janakiraman
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Corresponding author

Correspondence to B. J. Bejoy .

Editor information

Editors and Affiliations

  1. SCAD Institute of Technology, Palladam, India

    Durai Pandian

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. School of Computer and Security Science, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

  4. Wenzhou Medical University, Wenzhou, China

    Fuqian Shi

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Bejoy, B.J., Janakiraman, S. (2019). An Intrusion Detection and Prevention System Using AIS—An NK Cell-Based Approach. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_86

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  • DOI: https://doi.org/10.1007/978-3-030-00665-5_86

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00664-8

  • Online ISBN: 978-3-030-00665-5

  • eBook Packages: EngineeringEngineering (R0)

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