面向侵权假冒商品数字证据的区块链存证研究  

Research on blockchain storage for digital evidence of infringing and counterfeit goods

作　　者：胡春华 胡荔波 刘祥程 张雪荣 HU Chunhua;HU Libo;LIU Xiangcheng;ZHANG Xuerong(School of Artificial Intelligence and Advanced Computing,Hunan University of Technology and Business,Changsha 410205,China)

机构地区：[1]湖南工商大学人工智能与先进计算学院,湖南长沙410205

出　　处：《中南大学学报（自然科学版）》2024年第10期3768-3778,共11页Journal of Central South University:Science and Technology

基　　金：国家重点研发计划项目(2021YFC3340403);湖南省重点研发计划项目(2023GK2039);国家自然科学基金资助项目(72072053)。

摘　　要：针对数字证据数据安全性低、容错性低、审计溯源难与运维效率低等问题,提出一种基于隐私保护分类的共识协议运行机制,通过融合数字证据相似度与随机评估模型,计算节点的评估分数以及相似度,并利用节点的评估分数和节点自身的声望值来确保共识节点所得奖励;将所得奖励进一步鼓励节点成为共识节点参与共识进度,提高共识成功概率。原型搭建与仿真实验结果验证了模型的有效性,提高了系统的容错率与安全性。Aiming at the problems of low digital evidence data security,low fault tolerance,difficult audit traceability,low operation and maintenance efficiency,a consensus protocol operating mechanism based on privacy protection classification was proposed.By integrating digital evidence similarity and random evaluation models,the node's evaluation score and similarity were used to ensure the rewards of consensus nodes by using the node's evaluation scores and the node's own reputation value.The rewards received were further used to encourage nodes to become consensus nodes to participate in the consensus process and increase the probaility of consensus success.Prototype construction and simulation experiments verify the effectiveness of the model and improve the fault tolerance and security of the system.

关 键 词：区块链 数字证据 共识算法 随机评估模型 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]