Intrusion security protection method of industrial control network based on time series perfect matching algorithm
Industrial control networks have high requirements for data accuracy and effectiveness,and traditional network intrusion security management and control strategies cannot be directly applied.Based on this,this paper uses time series and perfect matching algorithm to optimize the 1DCNN-LSTM model,aiming to improve the timing span of unit data set and improve the training efficiency of the model system.It is found that there is no significant difference between the optimized model and the traditional model in the total training time,but the accuracy of application prediction is significantly improved,which is suitable for subsequent use.
time seriesan exact matchindustrial control networkintrusion detection
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