OPTIMIZATION OF THE METHOD OF CHOOSING THE INVESTMENT STRATEGY OF INFORMATION SECURITY EQUIPMENT BASED ON THE COMBINATION OF GAME THEORY AND THE GENETIC ALGORITHM

Today, there is a tendency to increase financial income from criminal organizations and increase attacks on information systems. At the same time, new methods and models are being developed to support decision-making regarding the choice of financing strategy. Investments in innovative projects, for example, in the field of information technology and cyber security, in many cases are determined by a high probability of calculation inaccuracy and risk. Data analysis systems are often used to improve the efficiency and optimization of project evaluation procedures and to support investment decision-making. It is decision support systems that make it possible to optimize procedures related to the selection of strategies for financial investment of projects based on a combination of game theory with the help of a genetic algorithm. The lack of standardization of the information field and limited access to structured information regarding the degree of cyber security of a specific informatization object is one of the main problems in the field of information protection and cyber security of many states. The only option for solving the problem of finding a rational strategy for investing