摘要
针对现有跨链系统中的信誉评估方法很难对加入到网络中的节点反映实时或最近的行为变化,提出了一种基于区块链的跨链多维信誉评估方法。该方法综合考虑了企业节点在交易过程中的个体行为、交易历史等,并且提出以推荐码的方式来动态调整初始节点的信誉值,同时加入责任共享机制来构建出多层次、动态的信誉评估模型。最后,在Fabric仿真系统上实现对改进多维信誉模型的性能测试。实验结果表明,该方法在跨链交易系统中可有效解决节点加入系统后可能存在后期欺骗行为,提高了系统的整体安全性和系统交易成功率,增加了用户对系统的信任。
When the nodes join the block-chain,it is difficult to evaluate these nodes’behavioral changes especially those happen in recent time.In order to solve the problem of the nodes’reputation assessment,this paper proposed a cross-chain multi-dimensional reputation algorithm based on block-chain.The individual behaviors and transaction history of enterprise nodes were considered comprehensively,and the reputation value of the initial node was set dynamically by means of the recommendation code in this method.Meanwhile,the reputation was taken to a liability-sharing mechanism to construct a multi-level and dynamic reputation evaluation mechanism.Finally,the test of the improved multi-dimensional reputation algorithm was implemented on the Fabric simulation system.The experimental results show that this method can be identified this method after joining the block-chain,the overall security and the success rate of transactions are imporored,and the users’trustworthy is enhanced.
作者
邰滢滢
乔煜涵
王妍
Tai Yingying;Qiao Yuhan;Wang Yan(School of Information,Liaoning University,Shenyang 110036,China)
出处
《计算机应用研究》
CSCD
北大核心
2024年第11期3225-3230,共6页
Application Research of Computers
基金
国家重点研发计划资助项目(2023YFC3304904)。
关键词
跨链技术
多维信誉模型
信誉评估
cross-chain technology
multi-dimensional reputation model
reputation assessment
