Secure Identity Authentication Method for Power System Stable Communication Terminal Based on Machine Learning
Aiming at the low authentication accuracy and efficiency of security identity authentication of power system stability communication terminal,a security identity authentication method of power system stability communication terminal based on machine learning is designed.This paper improves the public key infrastructure(PKI)for identity authentication,and defines the internal composition,transmission process and functions of each part.By combining artificial neural network and limit learning machine algorithm,This paper improves the authentication infrastructure of power system stable communication termi-nal.This paper also establishs the security identity authentication model of power system stable communication,designs the se-curity identity authentication process and realizes the security identity authentication.The results of example analysis show that the performance of the design method is stable when the external conditions change,the authentication accuracy is always high-er than 69.13％,and the reliability of identity authentication is strong.
machine learningartificial neural networkpower systemstable communication terminalsecure identity authen-tication
万方数据
维普
