Multicriteria optimisation of information protection system configuration based on the NSGA-II algorithm

Lakhno, Valeriy та Lakhno, Myroslav та Desiatko, Alona та Bebeshko, Bohdan (2026) Multicriteria optimisation of information protection system configuration based on the NSGA-II algorithm Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 2 (16). с. 84-90. ISSN 2391-6761

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Анотація

The article addresses the problem of multi-criteria optimisation of configuration parameters for an information protection system (IPS) within an enterprise or company. The problem lies in the difficulty of allocating a company’s limited resources among the various components of the information security system (ISS) when there are conflicting requirements regarding security and performance. To address this challenge, it isproposed to integratean analytical risk assessment model with the NSGA-II evolutionary algorithm. This results in the formation of a 3D Pareto front, which will enablethe decision-maker to select a security configuration based on a visual analysis of five dimensions: reliability, performance, scalability,cost and compliance. This will eliminate the subjectivity inherent in methods that rely on a priori weighting coefficients. During the computational experiments, the influence of algorithm parameters on the formation of the solution set was examined, and Pareto fronts were visualised using the Plotly library. The trade-offs between the considered criteria were analysed. The results obtained confirmed the effectiveness of the proposed approach for selecting the optimal configuration of the protection system.

Тип елементу :	Стаття
Ключові слова:	NSGA-II; Pareto-optimality; evolutionary algorithms; cybersecurity
Типологія:	Статті у базах даних > Scopus > У виданнях Q3 Scopus
Підрозділи:	Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки ім. професора Володимира Бурячка
Користувач, що депонує:	Карина Вікторівна Хорольська
Дата внесення:	31 Серп 2026 15:40
Останні зміни:	31 Серп 2026 15:40
URI:	https://elibrary.kubg.edu.ua/id/eprint/59442

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