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作 者:周镇 赵金东 ZHOU Zhen;ZHAO Jindong(School of Computer and Control Engineering,Yantai University,Yantai 264005,China)
机构地区:[1]烟台大学计算机与控制工程学院,山东烟台264005
出 处:《烟台大学学报(自然科学与工程版)》2024年第2期144-154,共11页Journal of Yantai University(Natural Science and Engineering Edition)
基 金:山东省自然科学基金资助项目(ZR2020MF148)。
摘 要:针对DPoS共识算法中节点投票积极性低和恶意节点作恶的问题,提出了一种基于节点贡献值和信誉度的DPoS共识机制DPoS-NCVR,首先引入连接度概念,通过贡献值模型将系统中节点的状态和行为等因素进行量化计算得出贡献值;其次,通过特定的贡献值阈值将节点划分为不同等级,以此来标识节点的身份,进而选出代理节点进行记账;最后,引入信誉度模型,对节点行为进行奖惩,并且将屡次作恶的节点剔除系统,从而提高节点参与投票的积极性。在仿真环境下,DPoS-NCVR再进行了多次共识,与DPoS相比节点的活跃度显著提高、恶意节点占比明显减少。实验结果表明,DPoS-NCVR能有效地提高节点投票的积极性,降低节点作恶的可能性,减少恶意节点占比,增强了系统的安全性。Aiming at the problems of low enthusiasm of nodes in DPoS consensus algorithm and malicious nodes doing evil,this paper suggests a Delegated Proof-of-Stake based on Node Contribution Value and Reputation(DPoS-NCVR).Firstly,the concept of connectivity is introduced and the contribution value is calculated by quantifying the state and behavior of nodes in the system through the contribution value model.Then the nodes are divided into different levels by a specific contribution threshold to identify the identity of the nodes,and then the agent nodes are selected for accounting.Finally,the reputation model is introduced to reward and punish the behavior of nodes,and the repeated evil nodes are removed from the system,so as to improve the enthusiasm of nodes to participate in voting.In the simulation environment,the consensus of DPOS-NCVR has been carried out for many times.Compared with DPoS,the active degree of nodes is significantly improved and the proportion of malicious nodes is significantly reduced.Experimental results show that DPoS-NCVR can effectively improve the enthusiasm of nodes to vote,reduce the possibility of nodes doing evil,reduce the proportion of malicious nodes,and enhance the security of the system.
分 类 号:TP311.13[自动化与计算机技术—计算机软件与理论]
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