江苏农业学报2024,Vol.40Issue(4) :740-752.DOI:10.3969/j.issn.1000-4440.2024.04.018

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 agricul-tural product blockchain

张德俊 饶元
江苏农业学报2024,Vol.40Issue(4) :740-752.DOI:10.3969/j.issn.1000-4440.2024.04.018

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 agricul-tural product blockchain

张德俊 1饶元1
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作者信息

  • 1. 安徽农业大学信息与计算机学院,安徽 合肥 230036;智慧农业技术与装备安徽省重点实验室,安徽 合肥 230036;农业农村部农业传感器重点实验室,安徽 合肥 230036
  • 折叠

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.

Abstract

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 de-veloped.An identity verification algorithm using zero-knowledge proofs was proposed to share privacy data with specific su-pervisory departments,thereby reduced the pressure on traditional regulatory agencies.Privacy data were organized into hi-erarchical 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

Key words

blockchain/regulation/zero-knowledge proof/ciphertext policy attribute-based encryption/privacy protection

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基金项目

安徽省重点研发和开发计划(201904a06020056)

安徽省自然科学基金(2008085MF203)

安徽省财政农业科技成果转化项目(2022ZH014)

出版年

2024
江苏农业学报
江苏省农业科学院

江苏农业学报

CSTPCDCSCD北大核心
影响因子:1.093
ISSN:1000-4440
参考文献量30
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