Network Intrusion Path Tracking and Detection Method for Cloud Network Fusion Environment
With the rapid development of cloud computing and network virtualization,distributed networks in cloud network fu-sion environments are more complex and massive than ordinary networks,making it difficult to ensure the recall rate of network intru-sion path tracking.Therefore,a distributed network intrusion path tracking and detection method in cloud network fusion environ-ments is proposed.Combined with the characteristics of distributed networks in the cloud network fusion environments,a distributed network model is constructed.After the network data flow information is converted into a unified format,the processed information is filtered and processed by considering the impact of interference factors on the network data flow information.The intrusion informa-tion feature factor of the distributed network in the cloud network fusion environment is calculated by using the network data flow in-formation,and the intrusion path is tracked and detected by using the intrusion information feature factor.The test results show that the accuracy of the network intrusion path tracking and detection can reach 99.9％,and the F1 value is always greater than 0.85,it is significantly better than that of the control group and has high completeness performance.
NETL
NSTL
万方数据
