Application of a Genetic Algorithm for the Selection of the Optimal Composition of Protection Tools of the Information and Educational System of the University

2022

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DOI 10.1016/j.procs.2022.12.062
Data confidence 70 medium
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Abstract

The article discusses the possibility of using a genetic algorithm (GA) in the search for the optimal composition of information security tools (IST) for the information and educational environment of the university (IEEU). In the process of research, there was developed an optimization model for choosing the structure and composition of the information security system for IEEU nodes. The model made it possible to refine the objective function based on minimizing the costs of creating an information security system (IS) of the IEEU. The corresponding computational experiments were carried out, which confirmed the efficiency of the model. The practical significance of the conducted research lies in the fact that the proposed approach significantly reduces the time for calculating the optimal composition of the information security system for IEEU. This, in turn, allows the protection side to quickly respond to the changing landscape of cyber threats for IEEU. The proposed approaches, in our opinion, will lead to an improvement in their technical and economic indicators of the IS of IEEU system, reduce time and labor costs for designing an effective IS system