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.
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Carpinteiro, O.A.S., Netto, R.S., Lima, I., de Souza, A.C.Z., Moreira, E.M., Pinheiro, C.A.M. (2006). A Neural Model in Intrusion Detection Systems. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840930_89
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DOI: https://doi.org/10.1007/11840930_89
Publisher Name: Springer, Berlin, Heidelberg
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