Application of Wavelet Transform Noise Reduction Technology in Electric Power System Computer Network Security Management
In order to further improve the safety protection ability of power system,the application of wavelet transform noise reduction technology in computer network security management of power system is studied.Through wavelet decomposition,threshold processing and wavelet reconstruction of network traffic data,noise reduction and feature extraction of network traffic are realized.Combined with machine learning algorithms,the network security event detection model is built to timely discover and respond to various security threats.In order to determine the specific application scheme and effect of this technology,a small electric power enterprise is taken as an example for practical analysis.The practice shows that the network security management method based on wavelet transform can effectively improve the security protection ability of power system.
NETL
NSTL
万方数据
