Research on the DPoS Consensus Method of Human Resource Management Blockchain Based on Node Trust Evaluation Model

Aiming at the problems of data security and efficiency in human resource management, as well as the problems of DPoS voting susceptibility to manipulation and slow block generation, this study proposes a DPoS consensus method based on the node trust assessment model for human resource management blockchain. The BFT-DPoTrust consensus method is formed by optimising the DPoS consensus method using technologies such as blockchain and the node trust assessment model. The method effectively analyses the node trust value, block generation and verification process. A simulation model is constructed using Python and performance metrics such as average latency and throughput are tested, and the results show that the growth rate of the BFT-DPoTrust method in block synchronisation time is significantly reduced when the number of nodes is increased from 5 to 40 compared to the DPoS method. In addition, the block generation time for DPoS is about 4.63 seconds, while the block generation time for BFT-DPoTrust is reduced to 2.33 seconds. The results show that the method improves the system efficiency and stability, increases the system throughput, and reduces the block generation time by about 50.27%, which proves its ability to solve the data security and efficiency problems and demonstrates the feasibility of the technical approach.