Improvement of PBFT Consensus Mechanism Based on Credibility

Abstract

Consensus mechanism is particularly critical in blockchain technology. Aiming at the shortcomings of traditional consensus mechanisms in the application of power system engineering management, this article improves the Byzantine Fault Tolerance (PBFT) consensus algorithm based on the reputation value. First, according to different business environments, design the corresponding credit value influencing factors, and then use each influencing factor as input, and use the random forest algorithm to classify the nodes into three node clusters based on the reputation value of high, medium, and low. Election of the master node is carried out in the high reputation value node cluster and the continuous election of the master node is suppressed, and the low reputation value cluster is detected to find possible malicious nodes. The simulation experiment results show that the master nodes are more secure and evenly distributed; at the same time, malicious nodes in the system can be found to ensure system stability.