Research of Genetic Optimization Algorithms in the Design of VLAN

Currently, one of the promising ways to solve the problem of effective management of access rights to network elements and, as a result, improving the efficiency and security of local area networks is the use of VLAN technology. However, when designing a VLAN, there is a problem of optimizing the access permission scheme to network resources, which role-based access control allows you to solve. Within the framework of this work, the application of genetic optimization algorithms is considered and various modifications of the main stages of the algorithm are studied when solving the problem of optimizing the VLAN access scheme based on a role-based approach. The solution of the problem found by selection by the roulette wheel method, mutation by the method with the removal of bonds and crossing with the number of break points k equal to 3 in the genetic algorithm has the lowest value of the fitness-function among all the solutions found at various stages of the study.