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Article title INVESTIGATION OF A NEW MODEL OF ARTIFICIAL NEURON AS AN ELEMENT OF INTRUSION DETECTION SYSTEM
Authors S.V. Polikarpov
Section SECTION III. INFORMATION SECURITY OF TELECOMMUNICATION SYSTEMS
Month, Year 04, 2012 @en
Index UDC 681.3.06
DOI
Abstract The possibility of a new model of artificial neuron as an element of the classification of intrusion detection systems. A brief description of a new model of artificial neuron, based on the use of table lookup operations, instead of multiplying the weighting coefficients and the nonlinear output function. Method is proposed for synthesizing neuroclassifiers in the form of tree structures, based on the gradual build a neural network. Based on the data set KDD cup"99 evaluated the effectiveness of the obtained neuroclassifiers in comparison with the known world analogues.

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Keywords An artificial neural network; Intrusion detect systems; classification.
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