DIDChain: Advancing Supply Chain Data Management with Decentralized Identifiers and Blockchain
Patrick Herbke, Sid Lamichhane, Kaustabh Barman, Sanjeet Raj Pandey,, Axel K\"upper, Andreas Abraham, Markus Sabadello

TL;DR
DIDChain is a blockchain-based framework that enhances supply chain data management by improving traceability, transparency, and privacy through decentralized identifiers and a hybrid blockchain architecture.
Contribution
This paper introduces DIDChain, a novel framework combining blockchain, Decentralized Identifiers, and IPFS to address supply chain data challenges with privacy-preserving features.
Findings
DIDChain improves traceability and data integrity in supply chains.
The hybrid blockchain architecture balances transparency and privacy.
DIDChain demonstrates robustness in managing supply chain assets.
Abstract
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,…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Data Quality and Management · Big Data and Business Intelligence
