Development and research of the autonomous system for providing security and quality of service for multi-cloud platform

In this research we present the results of approbation of the prototype of the autonomous system for ensuring cyber security and the quality of maintenance of the software-defined infrastructure of the multi-cloud platform. A hybrid neural network based on the multi-layer perceptron and self-organizing Kohonen network was used as an approach to detecting harmful traffic. The study showed that the use of the proposed approach makes it possible to increase the effectiveness of detecting attacks such as denial of service and preserving the quality of service in the corporate network.