DIDChain: Advancing Supply Chain Data Management with Decentralized Identifiers and Blockchain
Supply chain data management faces challenges in traceability, transparency, and trust. These issues stem from data silos and communication barriers. This research introduces DIDChain, a framework leveraging blockchain technology, Decentralized Identifiers, and the InterPlanetary File System. DIDCha...
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Zusammenfassung: | Supply chain data management faces challenges in traceability, transparency,
and trust. These issues stem from data silos and communication barriers. This
research introduces DIDChain, a framework leveraging blockchain technology,
Decentralized Identifiers, and the InterPlanetary File System. DIDChain
improves supply chain data management. To address privacy concerns, DIDChain
employs a hybrid blockchain architecture that combines public blockchain
transparency with the control of private systems. Our hybrid approach preserves
the authenticity and reliability of supply chain events. It also respects the
data privacy requirements of the participants in the supply chain. Central to
DIDChain is the cheqd infrastructure. The cheqd infrastructure enables digital
tracing of asset events, such as an asset moving from the milk-producing dairy
farm to the cheese manufacturer. In this research, assets are raw materials and
products. The cheqd infrastructure ensures the traceability and reliability of
assets in the management of supply chain data. Our contribution to
blockchain-enabled supply chain systems demonstrates the robustness of
DIDChain. Integrating blockchain technology through DIDChain offers a solution
to data silos and communication barriers. With DIDChain, we propose a framework
to transform the supply chain infrastructure across industries. |
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DOI: | 10.48550/arxiv.2406.11356 |