Result: Research on cloud computing network security mechanism and optimization in university education management informatization based on OpenFlow

With the widespread application of cloud computing technology in higher education management, network security issues have become a key factor restricting its further development. According to the latest data, university network attack incidents are on the rise yearly, with attacks targeting cloud computing environments accounting for as much as 60 %. Cloud computing environments must ensure comprehensive security of their hardware infrastructure, virtual resources, computing power, software platforms, applications, and data. To ensure the security of related components, it is necessary to start from the physical layer to the virtual resource layer and the service layer. Use a variety of network technologies, including network area boundary access control, intrusion prevention, security audit, centralized management, identity verification, access control, implement data security measures, establish backup and recovery mechanisms, do a good job in residual information protection, ensure the credibility of the cloud environment, strengthen virtualization security, and prevent malicious code. This study optimized the university education management informatization network security mechanism based on OpenFlow. By comparing traditional network traffic control technologies, it is found that OpenFlow has significant advantages in flexibility, programmability, and security. Experimental data shows that cloud computing network environments using OpenFlow technology have reduced response time by 30 % when subjected to network attacks while reducing the risk of data leakage by 40 %. The analysis of research data on IT infrastructure in multiple universities found that about 70 % of university network equipment can support OpenFlow technology after upgrading.