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A nonself space approach to network anomaly detection

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3 Author(s)
Ostaszewski, M. ; Inst. of Comput. Sci., Podlasie Univ., Siedlce ; Seredynski, F. ; Bouvry, P.

The paper presents an approach for the anomaly detection problem based on principles of immune systems. Flexibility and efficiency of the anomaly detection system are achieved by building a model of network behavior based on self-nonself space paradigm. Covering both self and nonself spaces by hyperrectangular structures is proposed. Structures corresponding to self-space are built using a training set from this space. Hyperrectangular detectors covering nonself space are created using niching genetic algorithm. Coevolutionary algorithm is proposed to enhance this process. 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

Published in:

Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International

Date of Conference:

25-29 April 2006

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