Design of Secure Computing Authentication for Edge Diagnosis Distribution of Hydroelectric Units Based on Federated Learning and Blockchain

Abstract

In order to solve the problems such as the inability to authenticate and the slow speed of authentication in the security of hydropower station end users, a distributed security authentication system based on edge computing and blockchain is designed. Utilizing the blockchain mechanism of blockchain technology to achieve secure and stable control of power grid end-user security authentication. Using the distribution characteristics of edge computing, the identity information of new devices is obtained by integrating the edge device terminals on the blockchain with the Hash distributed storage model, and the security distributed control authentication of new devices or users is realized. Upload authenticated device or user information to the core blockchain network to reduce the workload of host protocol conversion authentication and improve the speed of identity verification. The use of Proof of Stake (DPoS) consensus technology to improve the Hash model further solves the problem of the inability to continue authentication after refreshing the identity of the Hash model. Through experimental verification, the maximum error rate of the technical accounting data of the system is 0.7%, and the minimum is 0.2%. The application effect of this system is obvious.