Blockchain-driven Model for Protecting Data Privacy in Supply Chain Finance
LI Zhenjun
LIAO Yinping
ZUO Haiwei
YANG Peng
ZHONG Runlu
Abstract：Data sharing and collaboration in the supply chain are crucial foundations for the supply chain finance.The intro-duction of technologies such as blockchain and privacy computing has,to some extent,resolved the contradiction between the secu-rity of financial data sharing and privacy protection.However,issues such as low data storage efficiency,massive resource consump-tion,data consistency across multiple sources,and verification of calculation result accuracy still persist.Based on the research of technology architectures,a blockchain-based supply chain financial privacy protection model FDP is proposed.This model builds smart contracts to store financial key data(FKD)on Fisco Bcos3.0 and financial document data(FFD)on IPFS in a"dual-chain"mode,addressing data storage performance issues on the blockchain.Through privacy computing middleware,it manages data shar-ing cooperation among multiple parties in supply chain finance.By defining trusted data computing third-party security domains,it obtains authorization for multi-source data usage.It completes computational tasks through demand-side encryption algorithms while ensuring the correctness and security of task algorithm results.Experiments demonstrate that the FDP model improves data storage and query efficiency while solving privacy and security issues in data collaboration.
Keywords：blockchainIPFSprivacy computingsupply chain finance
Publication Date：2025-08-20
Online Publishing Date：2025-12-12(First online date of this platform, not the publication date of the document)
Pages：7( 2070-2075,2082 )