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A survey of intrusion detection techniques based on negative selection algorithm

Author

Listed:
  • Kuldeep Singh

    (Punjabi University)

  • Lakhwinder Kaur

    (Punjabi University)

  • Raman Maini

    (Punjabi University)

Abstract

The Artificial Immune System (AIS) is a powerful information processing system in adaptability, distribution, self-regulation, and decentralization control in computer networks inspired by the human immune system (HIS). NSA is the primary method used in AIS. It is based on self and non-self-discrimination observed in the HIS. This work introduces the recent improvements in the NSA in the field of Intrusion detection in computer networks, wireless sensor networks (WSN), Internet of things (IoT) and aircraft system. The literature shows that most of the authors have used the NSL-KDD dataset to evaluate the performance of their proposed work, Euclidean distance as similarity measure, info gain and principal component analysis (PCA) as dimensionality reduction algorithm.

Suggested Citation

  • Kuldeep Singh & Lakhwinder Kaur & Raman Maini, 2022. "A survey of intrusion detection techniques based on negative selection algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 175-185, March.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01357-8
    DOI: 10.1007/s13198-021-01357-8
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    References listed on IDEAS

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    1. Chikh Ramdane & Salim Chikhi, 2014. "A New Negative Selection Algorithm for Adaptive Network Intrusion Detection System," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 8(4), pages 1-25, October.
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