基于区块链的可信制造供应链溯源框架设计

针对传统制造业供应链管理信息不透明、数据流易窜改以及追溯能力不足等导致的供应链组织间缺乏信任、机会成本增加的问题，利用区块链技术设计了可信制造供应链溯源框架（trusted manufacturing supply chain traceability，TMSCT）。首先，设计了一种主从链协作机制，帮助用户在保护隐私的同时进行可信合作；其次，通过链上链下存储模式减轻分布式节点的存储压力；此外，基于布隆过滤器与Merkle树构建B-Merkle 树，以快速判断当前区块是否包含目标数据。实验结果表明，B-Merkle树可以有效降低查询请求的平均处理时延，所提框架在数据存在性判断、隐私保护、灵活性和缓解节点存储压力方面相比现有解决方案具有更好的表现。

Design of blockchain-based trusted manufacturing supply chain traceability framework

To address the lack of transparency in traditional manufacturing supply chain management, the vulnerability to data tampering, and the insufficient traceability capabilities, which result in a lack of trust between supply chain organizations and increased opportunity costs, this paper designed the TMSCT framework by using blockchain technology. Firstly, it designed a master-slave chain collaboration mechanism to enable trustworthy collaboration while protecting privacy. Secondly, it implemented a hybrid on-chain and off-chain storage mode to alleviate storage pressure on distributed nodes. Additionally, it constructed a B-Merkle tree based on Bloom filters and Merkle trees to quickly determine if the current block contained the target data. Experimental results demonstrate that the B-Merkle tree effectively reduces the average processing latency of query requests. The proposed framework outperforms existing solutions in terms of data existence verification, privacy protection, flexibility, and alleviating storage pressure on nodes.