The aim of the study is to solve the actual problem of constructing an optimal strategy for managing a system for protecting against the spread of computer epidemics of IP video surveillance networks used in the work of distributed situational centers. The paper presents a new mathematical modeling apparatus for building an adaptive network protection system from cyber-attacks using a hybrid approach that uses both classical control and neurocontrol based on an artificial neural network.
The paper studies the methods for predicting the reliability of technical security equipment located at transport infrastructure facilities. The methods of determining the probability of the state of readiness of technical systems with various combinations of parameters of the maintenance system are considered. The automation capabilities are demonstrated in the study of the effectiveness of technical security equipment based on the analysis of their tactical and technical characteristics.
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