A survey of intrusion detection techniques based on negative selection algorithm

被引：4
|
作者：
Singh, Kuldeep [1 ]
Kaur, Lakhwinder [1 ]
Maini, Raman [1 ]
机构：
[1] Punjabi Univ, Dept Comp Sci & Engn, Patiala, Punjab, India
来源：
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT | 2022年 / 13卷 / SUPPL 1期
关键词：
Artificial immune system; Security; Negative selection algorithm; Intrusion detection; IMMUNE-SYSTEM; ANOMALY DETECTION; OPTIMIZATION; AIS;
D O I：
10.1007/s13198-021-01357-8
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：175 / 185
页数：11
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