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Selection of the optimal algorithm for detecting information security breaches of the ground flight control complex for a satellite communication network

Saveliev Roman Nikolaevich  (postgraduate student, Siberian State Aerospace University named after academician M. F. Reshetnev)

The development of a block diagram of the proposed procedure for monitoring the security of the information system of a ground-based flight control complex for a satellite communication network is presented. It has been established that the use of neural networks is effective in detecting violations of the information security of the ground-based flight control complex. The main algorithms of neural networks that can be used to detect violations of information security are presented. The possibilities of using neural networks to control the security of the information system of the ground-based flight control complex are shown. It has been found that ANNs are better at recognizing patterns and detecting violations even if they do not follow established attack vectors, and ANNs can automatically solve many problems without any human intervention. This means that ground mission control will spend less time looking for false positives and eliminating minor threats. User and entity behavior analysis tools extend the technology by using neural networks to monitor user accounts as well as computers such as endpoints, routers, and servers. A mathematical model for training a neural network to detect information security violations is presented. The presented allows us to establish that it is advisable to use neural networks for the ground-based flight control complex. Purpose of the work: development of an algorithm for detecting violations of information security of the ground-based flight control complex for a satellite communication network using neural networks. When writing the article, methods of analysis, comparison, generalization, and mathematical modeling were used. As a result of the work, an algorithm for detecting information security violations was developed and the expediency of using machine learning was shown. The presented results can be used by ground-based satellite network control systems to improve information security and detect violations and possible attacks.

Keywords:information security, satellite network, ground complex, monitoring, cryptographic protection.

 

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Citation link:
Saveliev R. N. Selection of the optimal algorithm for detecting information security breaches of the ground flight control complex for a satellite communication network // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№04. -С. 124-129 DOI 10.37882/2223-2966.2022.04.29
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