Geodesic
Neural network methods for construction of modified intrusion detection system
Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2011), pp. 53-64.

Voir la notice de l'article provenant de la source Math-Net.Ru

The article contains a review of methods used to create a learning neural network model intended for intrusion detection system based on «Snort» software. The aim of research: to create an adaptive expert system representing a cascade of intrusion detection and special neural modules, considering local area network traffic features.
Keywords: intrusion detection systems, signature analysis, clasterisation, Kohonen's self-organizing maps.
Mots-clés : classification, multilayer perceptron 
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A. V. Grishin. Neural network methods for construction of modified intrusion detection system. Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2011), pp. 53-64. http://geodesic.mathdoc.fr/item/ITVS_2011_1_a6/