International Journal of Computational Intelligence Systems

Volume 4, Issue 4, June 2011, Pages 410 - 419

A Negative Selection Algorithm Based on Hierarchical Clustering of Self Set and its Application in Anomaly Detection

Authors
Wen Chen, Xiao-Jie Liu, Tao Li, Yuan-Quan Shi, Xu-Fei Zheng, Hui Zhao
Corresponding Author
Xiao-Jie Liu
Received 12 September 2010, Accepted 29 April 2011, Available Online 1 June 2011.
DOI
https://doi.org/10.2991/ijcis.2011.4.4.1How to use a DOI?
Keywords
Artificial Immune System, Negative Selection, Detector, Cluster
Abstract

A negative selection algorithm based on the hierarchical clustering of self set HC-RNSA is introduced in this paper. Several strategies are applied to improve the algorithm performance. First, the self data set is replaced by the self cluster centers to compare with the detector candidates in each cluster level. As the number of self clusters is much less than the self set size, the detector generation efficiency is improved. Second, during the detector generation process, the detector candidates are restricted to the lower coverage space to reduce detector redundancy. In the article, the problem that the distances between antigens coverage to a constant value in the high dimensional space is analyzed, accordingly the Principle Component Analysis (PCA) method is used to reduce the data dimension, and the fractional distance function is employed to enhance the distinctiveness between the self and non-self antigens. The detector generation procedure is terminated when the expected non-self coverage is reached. The theory analysis and experimental results demonstrate that the detection rate of HC-RNSA is higher than that of the traditional negative selection algorithms while the false alarm rate and time cost are reduced.

Copyright
© 2011, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
4 - 4
Pages
410 - 419
Publication Date
2011/06/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2011.4.4.1How to use a DOI?
Copyright
© 2011, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Wen Chen
AU  - Xiao-Jie Liu
AU  - Tao Li
AU  - Yuan-Quan Shi
AU  - Xu-Fei Zheng
AU  - Hui Zhao
PY  - 2011
DA  - 2011/06/01
TI  - A Negative Selection Algorithm Based on Hierarchical Clustering of Self Set and its Application in Anomaly Detection
JO  - International Journal of Computational Intelligence Systems
SP  - 410
EP  - 419
VL  - 4
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.4.1
DO  - https://doi.org/10.2991/ijcis.2011.4.4.1
ID  - Chen2011
ER  -