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

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 is proposed to integrate an analytical risk assessment model with the NSGA-II evolutionary algorithm. This results in the formation of a 3D Pareto front, which will enable the 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.