It is of great significance for hospital network security dynamic control technology to ensure the security and stability of hospital networks.The anomaly monitoring and security dynamic control of traditional networks cannot solve the problem of large ar-ea network intrusion.To solve these problems,a hospital security dynamic control model based on self-organizing incremental neural network(SOINN)combined with advanced digital network data design(ADNDD is constructed.The algorithm is optimized to fuse the SOINN with the ADNDD to construct the network security dynamic control model,and then the dataset is used to verify the per-formance of the model.The results show that after training in the dataset,the model identifies 92.13％,90.04％and 89.07％of out-liers in the datasets of surge attack,deviation attack and geometric attack,respectively.This indicates that the model algorithm can meet the requirements of network security in hospital network anomaly detection and dynamic defense control after the application of the dataset.The aim is to improve the security and stability of hospital network.
关键词
网络异常监测/医院/网络安全/动态控制
Key words
network anomaly monitoring/hospital/network security/dynamic control
维普
万方数据