[1]张德俊,饶元.农产品区块链多监管差分隐私共享模型设计[J].江苏农业学报,2024,(04):740-752.[doi:doi:10.3969/j.issn.1000-4440.2024.04.018]
 ZHANG De-jun,RAO Yuan.Design of multi-regulation differential privacy sharing model for agricultural product blockchain[J].,2024,(04):740-752.[doi:doi:10.3969/j.issn.1000-4440.2024.04.018]
点击复制

农产品区块链多监管差分隐私共享模型设计()
分享到:

江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2024年04期
页码:
740-752
栏目:
农业经济·农业信息
出版日期:
2024-04-30

文章信息/Info

Title:
Design of multi-regulation differential privacy sharing model for agricultural product blockchain
作者:
张德俊123饶元123
(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)
Author(s):
ZHANG De-jun123RAO Yuan123
(1.School of Information and Computer Science, Anhui Agricultural University, Hefei 230036,China;2.Anhui Provincial Key Laboratory of Smart Agricultural Technology and Equipment, Hefei 230036,China;3.Key Laboratory of Agricultural Sensors, Ministry of Agriculture and Rural Affairs, Hefei 230036,China)
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
Keywords:
blockchainregulationzero-knowledge proofciphertext policy attribute-based encryptionprivacy protection
分类号:
TP309.2
DOI:
doi:10.3969/j.issn.1000-4440.2024.04.018
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 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.

参考文献/References:

[1]MIRABELLI G, SOLINA V. Blockchain and agricultural supply chains traceability:research trends and future challenges[J]. Procedia Manufacturing,2020,42:414-421.
[2]VANGALA A, DAS A K, KUMAR N, et al. Smart secure sensing for IoT-based agriculture:blockchain perspective[J]. IEEE Sensors Journal,2021,21(16):17591-17607.
[3]TENG Y, CHEN X L, YU Z G, et al. Research on the evolutionary Decision-Making behavior among the government, farmers, and consumers: based on the quality and safety of agricultural products [J]. IEEE Access,2021,9:73747-73756.
[4]于华竟,徐大明,罗娜,等. 杂粮供应链区块链多链追溯监管模型设计[J]. 农业工程学报,2021,37(20):323-332.
[5]钱文君,沈晴霓,吴鹏飞,等. 大数据计算环境下的隐私保护技术研究进展[J]. 计算机学报,2022,45(4):669-701.
[6]孙传恒,于华竟,罗娜,等. 基于智能合约的果蔬区块链溯源数据存储方法研究[J]. 农业机械学报,2022,53(8):361-370.
[7]巫光福,余攀,王柯柯. 双链式区块链交易监管研究[J]. 计算机工程与应用,2020,56(23):116-123.
[8]张新,彭祥贞,许继平,等. 基于区块链智能合约的稻米供应链动态监管模型[J]. 农业机械学报,2022,53(1):370-382.
[9]AZARIA A, EKBLAW A, VIEIRA T, et al. MedRec: using blockchain for medical data access and permission management [C]. Vienna,Austria:IEEE,2016:25-30.
[10]ZHANG M, WANG S, ZHANG P, et al. Protecting data privacy for permissioned blockchains using identity-based encryption [C]. Chengdu,China:IEEE,2019:602-605.
[11]刘彦松,夏琦,李柱,等. 基于区块链的链上数据安全共享体系研究[J]. 大数据,2020,6(5):92-105.
[12]李莉,曾庆贤,文义红,等. 基于区块链与代理重加密的数据共享方案[J]. 信息网络安全,2020(8):16-24.
[13]李雪莲,张夏川,高军涛,等. 支持属性和代理重加密的区块链数据共享方案[J]. 西安电子科技大学学报(自然科学版),2022,49(1):1-16.
[14]邵奇峰,金澈清,张召,等. 区块链技术:架构及进展[J]. 计算机学报,2018,41(5):969-988.
[15]KASSANUK T, PHASINAM K. Design of blockchain based smart agriculture framework to ensure safety and security[J]. Materials Today:Proceedings,2022,51:2313-2316.
[16]钱建平,吴文斌,杨鹏. 新一代信息技术对农产品追溯系统智能化影响的综述[J]. 农业工程学报,2020,36(5):182-191.
[17]祝烈煌,董慧,沈蒙. 区块链交易数据隐私保护机制[J]. 大数据,2018,4(1):46-56.
[18]祝烈煌,高峰,沈蒙,等. 区块链隐私保护研究综述[J]. 计算机研究与发展,2017,54(10):2170-2186.
[19]曾诗钦,霍如,黄韬,等. 区块链技术研究综述:原理、进展与应用[J]. 通信学报,2020,41(1):134-151.
[20]GOLDWASSER S, MICALI S. The knowledge complexity of interactive proof systems[J]. SIAM Journal on Computing,1989,18(1):186.
[21]BEN-SASSON E, CHIESA A, GENKIN D, et al. SNARKs for C:verifying program executions succinctly and in zero knowledge[C]. Berlin, Heidelberg:Springer,2013:90-108.
[22]SAHAI A, WATERS B. Fuzzy identity-based encryption[C]. Berlin,Heidelberg:Springer,2005:457-473.
[23]GOYAL V, PANDEY O, SAHAI A, et al. Attribute-based encryption for fine-grained access control of encrypted data[C]. New York,USA:ACM,2006:89-98.
[24]BETHENCOURT J, SAHAI A, WATERS B. Ciphertext-policy attribute-based encryption[C]. Berkeley, CA, USA:IEEE,2007:321-334.
[25]邱云翔,张红霞,曹琪,等. 基于CP-ABE算法的区块链数据访问控制方案[J]. 网络与信息安全学报,2020,6(3):88-98.
[26]孙国梓,董宇,李云. 基于CP-ABE算法的云存储数据访问控制[J]. 通信学报,2011,32(7):146-152.
[27]芦效峰,付淞兵. 属性基加密和区块链结合的可信数据访问控制方案[J]. 信息网络安全,2021,21(3):7-14.
[28]张兴兰,崔遥. 基于群签名的属性加密方案[J]. 网络与信息安全学报,2019,5(1):19-25.
[29]WATERS B. Ciphertext-policy attribute-based encryption:an expressive, efficient, and provably secure realization[C]. Berlin, Heidelberg:Springer,2011:53-70.
[30]WANG Y, GOU G P, LIU C, et al. Survey of security supervision on blockchain from the perspective of technology[J]. Journal of Information Security and Applications,2021,60:102859.

相似文献/References:

[1]陆昌华,胡肄农,甘泉,等.动物食品质量安全风险因素分析及其防控对策[J].江苏农业学报,2015,(03):685.[doi:10.3969/j.issn.1000-4440.2015.03.035]
 LU Chang-hua,HU Yi-nong,GAN Quan,et al.Risk factors of animal-derived food safety and risk prevention and control[J].,2015,(04):685.[doi:10.3969/j.issn.1000-4440.2015.03.035]
[2]伍德伦,饶元.基于身份验证的果蔬区块链信息存储溯源模型设计[J].江苏农业学报,2023,(02):434.[doi:doi:10.3969/j.issn.1000-4440.2023.02.016]
 WU De-lun,RAO Yuan.Design of storage and traceability model of fruits and vegetables blockchain information based on authentication[J].,2023,(04):434.[doi:doi:10.3969/j.issn.1000-4440.2023.02.016]

备注/Memo

备注/Memo:
收稿日期:2023-04-01基金项目: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)作者简介:张德俊(2001-),男,安徽阜阳人,本科,主要研究方向为农业物联网和区块链。(E-mail)2568446975@qq.com通讯作者:饶元,(E-mail) raoyuan@ahau.edu.cn
更新日期/Last Update: 2024-05-22