重庆理工大学学报2025，Vol.39Issue(1)：67-74,8.DOI:10.3969/j.issn.1674-8425(z).2025.01.009
DPoS共识机制的信誉优化
Reputation optimization of DPoS consensus mechanism
摘要
Abstract
A reputation evaluation consensus mechanism RE-DPoS is proposed to address the passive node voting,node collusion,and high probability of malicious nodes being selected as agent nodes in the DPoS consensus mechanism.First,the voting mechanism of nodes is optimized by introducing verifiable random functions to vote on them,limiting their negative voting behavior.Second,the evaluation method of nodes is improved by dynamically calculating the weights of various indicators of nodes through entropy weight method,which more accurately evaluates the reputation status of nodes and ensures that the selected agent nodes have higher reputation.Finally,a reward and punishment mechanism is added to update the reputation value based on node behavior,and a binary exponential backoff algorithm is introduced to set the number of waiting rounds for malicious nodes to encourage them to actively participate in voting and effectively handle malicious nodes.The experimental results show that RE-DPoS effectively reduces the probability of malicious nodes being elected as agent nodes,improves node voting,and thus ensures the security of blockchain systems.关键词
区块链/共识机制/委托权益证明/可验证随机函数/信誉值/熵权法Key words
blockchain/consensus mechanism/delegated proof-of-state/verifiable random function/reputation value/entrop weight method分类
计算机与自动化引用本文复制引用
孙敏,王晨燕,焦世行..DPoS共识机制的信誉优化[J].重庆理工大学学报,2025,39(1):67-74,8.基金项目
山西省基础研究计划项目(20210302123455) （20210302123455）
