Power Information Network Security Situation Assessment Based on GAElman Algorithm Model
In order to improve the ability of power information network security situation assessment,an Elman neural network model was proposed.In the model,genetic algorithm was introduced into the Elman algorithm,and data collection in the power information network was realized through a combination of active and passive collection techniques.The original data from each data source was comprehensively analyzed and processed.In specific applications,the ARM32 bit Cortex TM-M4 processor core with STM32F429ZET6 microcontroller as the control chip greatly improved the control ability of power information network security situation assessment.The experimental results show that the evaluation accuracy of this research method is up to 97.9％,which lays the foundation for the next step of technology research.
万方数据
维普
