Development and investigation of adaptive firewall algorithm to protect the software-defined infrastructure of multi-cloud platforms

The aim of the research is to increase the effectiveness of firewalling facilities by means of conflict-free optimization of security rules and application of the neural network approach in software-defined networks. In the framework of the study, based on the joint use of intelligent mathematical approaches and modern network technologies, it was possible to increase the productivity and security of the resources of the corporate multi-cloud platform deployed on the basis of a software-defined infrastructure. The results obtained experimentally make it possible to draw a conclusion about the effectiveness of the practical application of the approach developed in the work. The application of the developed approach gives an improvement in the criterion of the average response time for the request, as well as the load on the central processor of the firewall.