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. © 2006 Springer.
CITATION STYLE
Ostaszewski, M., Seredyński, F., & Bouvry, P. (2006). Network traffic analysis using immunological and evolutionary paradigms. In Advances in Soft Computing (Vol. 35, pp. 359–363). https://doi.org/10.1007/3-540-33521-8_37
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