УПРАВЛЕНИЕ СИСТЕМОЙ БЕЗОПАСНОСТИ ИНФОРМАЦИОННОГО ОБЕСПЕЧЕНИЯ СПОРТИВНЫХ МЕРОПРИЯТИЙ НА ОСНОВЕ АЛГОРИТМОВ ФУНКЦИОНИРОВАНИЯ ИСКУССТВЕННОЙ НЕЙРОННОЙ СЕТИ

Abstract

Cybernetic confrontation marks a new level of confrontation. An urgent requirement of the time is the revision of the principles of construction for managing the security system of information support for sports events by the method of forecasting implemented by an artificial neural network. To manage the information security system of an information and telecommunications network, it is necessary to apply highly effective methods of monitoring and controlling the network state directly in real time. The basis of these methods should be data from tools for analyzing and predicting the state of control boundaries and the entire system as a whole. Artificial neural networks are the most suitable tool for forecasting. A neural network is a highly parallel dynamic system with a directed graph topology that can receive output information by reacting its state to input influences. Artificial neural networks are essentially a formal device for describing the key algorithm for solving the problem of predicting the state of the information and telecommunications network security system based on characteristic time sections. Due to their trainability, artificial neural networks are able to make decisions that correspond to the dynamic change of States, which is typical for such complex systems as the information and telecommunications network security system. Thus, the main trends in the long-term development of the structure of protection systems for infotelecommunication systems are justified. Recommendations are given on the possibility of using the predictive function of an artificial neural network, the functional scheme of an artificial Hamming neural network is described in detail, its advantages relative to other neural networks are considered, and the algorithm of functioning is presented.