Research On Network Security Management Based On Artificial Intelligence

With the advent of the network information age,network technology is constantly providing people with convenience,but at the same time the emergence of network security vulnerabilities also poses a threat to people's personal information and property security.At the moment,a large amount of bad information has emerged on the Internet.This information has attracted the attention of the people and uploaded it on the Internet.It has brought benefits to some unscrupulous elements or businesses,but it has brought more pain to users of the Internet.Applying artificial intelligence to the field of network security management can help network administrators to improve their work efficiency.Compared with traditional network security technologies,both the speed,efficiency,and operability are significantly improved.This article applies artificial intelligence to network security management,fully applies the currently mature network technology and equipment applications in system design,and conducts network security situation assessment and prediction simulation testing.A network security situation assessment and prediction simulation environment was set up,a node risk degree measurement model,an evidence weight distribution model based on node importance,a network security situation fusion model based on weight DS evidence theory,and a network based on least squares support vector machine were designed.The security situation prediction model completes the functions of risk degree measurement,evidence weight distribution,security situation integration,and security situation prediction,and simulates UDP Flood,TCP SYN Flood,and Dosnuke attacks to test the functions and performance of each module.The simulation test results show that the network security situation assessment is reasonable and effective and the prediction is accurate in real time.