Abstract
The paper presents an approach to anomaly detection problem based on self-nonself space paradigm. Hyperrectangular structure as description for self and nonself elements is proposed. Niching genetic algorithm is used for generation of detector set. Results of conducted experiments show a high quality of intrusion detection which outperforms the quality of recently proposed approach based on hypersphere representation of self-space.
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References
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Ostaszewski, M., Seredyński, F., Bouvry, P. (2006). Network Traffic Analysis Using Immunological and Evolutionary Paradigms. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33521-8_37
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DOI: https://doi.org/10.1007/3-540-33521-8_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33520-7
Online ISBN: 978-3-540-33521-4
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