农产品区块链多监管差分隐私共享模型设计  

Design of multi-regulation differential privacy sharing model for agricultural product blockchain

作　　者：张德俊 饶元[1,2,3] ZHANG De-jun;RAO Yuan(School of Information and Computer Science,Anhui Agricultural University,Hefei 230036,China;Anhui Provincial Key Laboratory of Smart Agricultural Technology and Equipment,Hefei 230036,China;Key Laboratory of Agricultural Sensors,Ministry of Agriculture and Rural Affairs,Hefei 230036,China)

机构地区：[1]安徽农业大学信息与计算机学院,安徽合肥230036 [2]智慧农业技术与装备安徽省重点实验室,安徽合肥230036 [3]农业农村部农业传感器重点实验室,安徽合肥230036

出　　处：《江苏农业学报》2024年第4期740-752,共13页Jiangsu Journal of Agricultural Sciences

基　　金：安徽省重点研发和开发计划项目(201904a06020056);安徽省自然科学基金项目(2008085MF203);安徽省财政农业科技成果转化项目(2022ZH014)。

摘　　要：当前的农产品供应链系统,常由单个部门监管,存在单点故障、数据难以实时监管等问题,此外企业节点身份无明显区分,难以保证企业节点不会泄露企业隐私数据。本研究构建了农产品区块链多监管差分隐私共享架构,提出零知识证明身份验证算法,实现隐私数据对具有特定特征的监管部门的共享,降低了传统监管部门的压力。设计隐私数据分层规范,以基于密文策略的属性加密方案技术实现企业隐私数据差异化共享,降低了隐私数据泄露风险。在此基础上设计农产品区块链多监管差分隐私共享系统,并应用在某企业番茄供应链进行测试,测试结果表明,与现有监管模型相比,监管节点查询企业隐私数据时间缩短7.1%,企业节点查询隐私数据时间缩短23.9%。结果说明,本研究提出的方法能够在保证隐私安全的前提下提高监管效率。Current agricultural product supply chain system is often regulated by a single department,which leads to problems such as single point of failure and difficulties in real-time data supervision.Besides,the identities of enterprise nodes are not clearly distinguished,and it is difficult to ensure that enterprise nodes do not leak privacy data.To solve these challenges,a blockchain-based multi-supervisory differential privacy sharing architecture for agricultural products was developed.An identity verification algorithm using zero-knowledge proofs was proposed to share privacy data with specific supervisory departments,thereby reduced the pressure on traditional regulatory agencies.Privacy data were organized into hierarchical specifications,and enterprise privacy data differentiation sharing was achieved using ciphertext-policy attribute-based encryption(CP-ABE)technology,which effectively mitigated the risk of privacy data leakage.Based on the above work,a blockchain-based multi-supervisory differential privacy sharing system for agricultural products was designed and applied to a tomato supply chain of a certain company for test.Test results showed that compared to the existing regulatory model,the time for regulatory nodes to query enterprise privacy data reduced by 7.1%,and the time for enterprise nodes to query privacy data reduced by 23.9%.These findings demonstrate that the proposed method can improve regulatory efficiency while ensuring privacy security.

关 键 词：区块链 监管 零知识证明 密文策略属性基加密 隐私保护 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]