Optimization of Network Security in University Laboratories Based on Anomaly Intrusion Detection in Public Cloud Networks

Abstract

The network security issue of university laboratories needs to be taken seriously, as there is a large amount of academic data stored in the laboratory. In order to ensure the network security of university laboratories, a series of measures need to be taken. This article uses anomaly intrusion detection technology to optimize the network of university laboratories and designs a network management system for university laboratories. The system adopts cloud computing technology and data center technology, supports software clusters and hardware clusters, and adopts an advanced SOA system framework. The design and implementation of this system effectively improves the security and stability of the university laboratory network. Using anomaly intrusion detection technology, we can effectively identify and prevent abnormal network intrusion, and protect the security of Laboratory equipment and data.