Design of multi-regulation differential privacy sharing model for agricul-tural product blockchain
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.
万方数据
维普
