Abstract
A model of the application of the genetic algorithm (GA) for solving the problem of multicriteria optimization in the distribution of resources allocated for the cybersecurity of the protected object is proposed. In the presented model, in contrast to the existing solutions, the Bellman-Zade principle is involved, which makes it possible to optimize the distribution, for example, of the organizational and financial resources of the protected object. It is shown that the use of GAs in the tasks of multicriteria optimization of cybersecurity resources will make it possible, based on multivariate simulation modeling, to select the optimal variant of resource allocation, which is especially important when these resources are limited in volume, and the defense side does not have data on the attackers’ resources.