MONITORING AND FORECASTING COMPUTER NETWORK STATE BASED ON THE USE OF HYBRID NEURAL NETWORKS Journal of instrument engineering

DOI 10.17586/0021-3454-2016-59-10-795-800
UDC 004.891.3

MONITORING AND FORECASTING COMPUTER NETWORK STATE BASED ON THE USE OF HYBRID NEURAL NETWORKS

I. B. Saenko
St. Petersburg Institute for Informatics and Automation of the RAS, Laboratory of Computer Security Problems; Professor

I. V. Kotenko
St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences, Laboratory of Computer Security Problems ; Professor

F. A. Skorik
S. M. Budenny Military Academy of Telecommunications; Department of Automated Control Systems for Special Purposes;

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Abstract. Application of for computer networks state monitoring and forecasting based on high adaptability and resistance of hybrid neural networks to external noise is considered. Models for monitoring and forecasting of computer network states using hybrid neural networks are analyzed. Results of experiments demonstrate that the proposed models afford a rather high precision of classification of current and predicted states of computer network.

Keywords: hybrid neural networks, Kohonen map, computer networks, forecasting, monitoring, state indicator

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MONITORING AND FORECASTING COMPUTER NETWORK STATE BASED ON THE USE OF HYBRID NEURAL NETWORKS