A survey of intrusion detection techniques based on negative selection algorithm

Kuldeep Singh (), Lakhwinder Kaur () and Raman Maini ()
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Kuldeep Singh: Punjabi University
Lakhwinder Kaur: Punjabi University
Raman Maini: Punjabi University

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 1, No 18, 175-185

Abstract: 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.

Keywords: Artificial immune system; Security; Negative selection algorithm; Intrusion detection (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-021-01357-8

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