A Permissioned Distributed Ledger for the US Beef Cattle Supply Chain
A Permissioned Distributed Ledger for the US Beef Cattle Supply Chain
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DOI：
10.1109/access.2020.3019000
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发表时间：
2020
期刊：
影响因子：
3.9
通讯作者：
Tanvir Ferdousi;D. Gruenbacher;C. Scoglio
中科院分区：
文献类型：
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作者：
Tanvir Ferdousi;D. Gruenbacher;C. Scoglio
使用区块链的分布式账本由于其独特的不变性和透明度，在供应链行业中获得了牵引力。它们赋予人们解决传统系统无法解决的业务问题的能力。美国肉牛产业缺乏足够的可追溯性，因为大多数农场主认为这些数据是保密的；如果曝光可能会损害他们的生意。本文试图通过提出一个使用许可区块链网络的基于智能合约的供应链框架来解决这个问题。该系统支持用户匿名来保护身份，并允许每个用户在本地存储他们的数据，同时确保使用加密证明（哈希）将更改记录在链中。建议的框架还提供了用户执行业务交易和根据需要将动物相关数据转移给新所有者的方法。除此之外，还添加了智能合约来进行数据汇总的匿名调查。本文的技术贡献在于如何处理用户、数据和通信的系统设计，以维护数据所有权和用户隐私，同时确保不同级别的数据聚合的不变性和机密性。本文还包含使用集成测试对系统的评估，其中结果满足预期的设计需求。该框架可以应用于美国肉牛产业以及其他供应链，只需进行最小的修改。
Distributed ledgers using blockchain have gained traction in the supply chain industry due to their unique features of immutability and transparency. They have given people the abilities to solve business problems which were impossible using traditional systems. The US beef cattle industry lacks adequate traceability as most of the farm owners consider such data confidential; possibly harming their businesses if exposed. This article attempts to solve this problem by proposing a smart contract-based supply chain framework using a permissioned blockchain network. This system supports anonymity for the users to protect identities and lets every user store their data locally, while ensuring that the changes are recorded in the chain with cryptographic proofs (hashes). The proposed framework also has methods for the users to perform business transactions and transfer animal-related data to new owners as required. In addition to that, smart contracts have been added to conduct anonymous surveys for data aggregation. The technical contribution of this article is in the system design on how users, data, and communications are handled to maintain data ownership and user privacy while ensuring immutability and confidentiality at different levels of data aggregation. This article also contains an evaluation of the system using integration tests where the outcomes meet the expected design requirements. The framework can be applied to the US beef cattle industry as well as other supply chains with minimal modifications.