DOI 10.17586/0021-3454-2021-64-6-452-458
UDC 656.6; 656.61;656.62/.66
ASSESSMENT OF THE FUNCTIONAL STATE OF A NETWORK INFRASTRUCTURE OBJECT USING A NEURAL NETWORK APPROACH
Dr. Sci., Professor; Russian State Hydrometeorological University Department of Marine Information Systems; Head of the Department ;
M. E. Sukhoparov
Saint Petersburg Branch AO «NPK «TRISTAN», Saint Petersburg, 195220, Russian Federation; Senior scientific researcher
O. V. Petrieva
PhD, Associate Professor; St. Petersburg University of State Fire Service of EMERCOM of Russia, Department of Higher Mathematics and System Modeling of Complex Processes;
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Abstract. The issues of assessing the functional state of network infrastructure objects are considered, and the need for using alternative assessment methods is justified. Side channels are described, with the use of which it becomes possible to monitor the states of individual objects. The experiment conducted in the framework of the study is described. With the help of two sensors, statistical information about the various operating modes of the network architecture device was read. The obtained data were processed using two-layer direct propagation neural networks with a sigmoidal transfer function in hidden layers. The resulting behavior model of the network infrastructure object can be used as an additional element for determining the functional state.
Keywords: sensor, computer network, unauthorized access, signal, graph model, neural network, integration
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