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Fusion of Detectors on the Basis of Recirculation Neural Networks for Intrusion Detection
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2006Publisher
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Kochurko, P. Fusion of Detectors on the Basis of Recirculation Neural Networks for Intrusion Detection / Pavel Kochurko // International Conference on Neural Networks and Artificial Intelligence : proceedings, Brest, 31 May – 2 June, 2006 / Edited: V. Golovko [et al.]. – Brest : BSTU, 2006. – P. 44–48 : il. – Bibliogr.: p. 48 (20 titles).Abstract
The identification of attack class plays great role in intrusion detection. In this paper the method of recognition of a class of attack by means of the cumulative classifier with nonlinear recirculation neural networks as private detectors is described, strategy of detector selection – by a relative reconstruction error, relative cost of recognition error and mutual cost of recognition error are considered. Results of experiments are compared to results of similar researches.
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