Development of Network Security Models in the Software-defined Infrastructure of Virtual Data Center

The novelty of the research is the combination of technologies of software-defined networks and virtualization of network functions for optimization network organization in virtual data centers. We was prepared approaches for solving tasks for describing firewall rules and the rules for selecting nodes of the physical infrastructure for the placement of security networks elements with using neural network and Data Mining methods. Our solutions will provide the required level of security and maintain a specified quality of service for applications and services of multi-cloud platforms. This approach was combined with efficient means for processing Big Data flows. It allows predicting infrastructure behavior over time and warning of possible failures, security threats and cyber attacks. The uniqueness our technology is that resource management that provides security and quality of service is carried out autonomously, using the principles of self-organization, without interference from administrators and third parties.