Abstract
The paper proposes the use of the multilayer perceptron model to the problem of detecting attack patterns in computer networks. The multilayer perceptron is trained and assessed on patterns extracted from the files of the Third International Knowledge Discovery and Data Mining Tools Competition. It is required to classify novel normal patterns and novel categories of attack patterns. The results are presented and evaluated in the paper. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Carpinteiro, O. A. S., Netto, R. S., Lima, I., Zambroni De Souza, A. C., Moreira, E. M., & Pinheiro, C. A. M. (2006). A neural model in intrusion detection systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4132 LNCS-II, pp. 856–862). Springer Verlag. https://doi.org/10.1007/11840930_89
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