A pbft consensus method and system for internet of things devices

CN116016544BActive Publication Date: 2026-08-28NANJING UNIV OF SCI & TECH
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Patent Information

Application Number
CN202211620753.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-12-16
Publication Date
2026-08-28
Estimated Expiration
2042-12-16

AI Technical Summary

Technical Problem

记账由多人协同完成，使得每个区块都有最终性，若有三分之一以上的节点出现故障，则系统无法正常工作

Benefits of technology

[0040]本发明的有益效果如下：本发明所提出的面向物联网设备的PBFT共识方法，通过节点的行为特征对节点进行信誉评分，并选取信誉评分靠前的节点组成主节点候选集，降低了恶意节点和故障节点被选为主节点参与共识，从而被攻击导致共识失败的概率，提高共识成功率。

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Abstract

The application provides a PBFT consensus method and system for Internet of Things devices, and the method comprises the following steps: obtaining the behavior characteristics of nodes in a network, and performing reputation scoring on the nodes according to the behavior characteristics; dividing the nodes into a master node candidate set and a consensus node set according to the reputation scoring results, and the reputation scores of the nodes in the master node candidate set are all higher than or equal to the reputation scores of the nodes in the consensus node set; selecting a master node from the master node candidate set, and verifying the identity of the master node; and reaching consensus among the consensus nodes in the consensus node set through the RV-PBFT algorithm for the master node whose identity verification is passed. The PBFT consensus method for Internet of Things devices provided by the application performs reputation scoring on the nodes according to the behavior characteristics of the nodes, and selects the nodes with high reputation scores to form a master node candidate set, so that the probability that malicious nodes and faulty nodes are selected as master nodes to participate in consensus is reduced, the probability that consensus fails due to attacks is reduced, and the success rate of consensus is improved.
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Citation Information

Patent Citations

  • Node reputation consensus method based on block chain

    CN112039964A

  • Multilevel optimization PBFT consensus method based on node credibility

    CN114938292A

  • Block chain performance adaptive optimization method based on hierarchical consensus and reinforcement learning

    CN115378788A