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Trustless Accountable Data Sharing for Supply Chains: A Reference Architecture and MoreMedDiet Proof-of-Concept

Aug 2026 · 0 citations · 27 references
Computer Science

TL;DR

The resulting design offers a reusable blueprint for multi-actor supply chains, including agri-food and pharmaceutical domains, and illustrates how Self-Sovereign Identity and W3C Verifiable Credentials can provide portable and auditable access governance over Hyperledger Fabric channels.

Abstract

Modern supply chains are increasingly dependent on the exchange of sensitive business data between heterogeneous stakeholders who do not trust each other. %under partial trust. Conventional integration approaches typically rely on centralized intermediaries or require extensive data disclosure, which hinders collaboration, compliance, and innovation. We propose a generic reference architecture for privacy preserving, trustless data sharing in supply chains. The architecture combines permissioned distributed ledgers, IoT-based evidence ingestion, and modular privacy mechanisms to enable controlled transparency: stakeholders can extract verifiable insights and support audits while minimizing data exposure. We instantiate the architecture in the context of the MoreMedDiet project, which promotes sustainable farm-to-fork food systems and adoption of the Mediterranean diet. By mapping the MoreMedDiet use case into our architecture, we demonstrate how channel topologies, IoT-to-ledger data flows, and smart contract-based quality assurance (QA) can support secure data exchange, transparency, interoperability, and regulatory alignment. Our proof-of-concept illustrates how Self-Sovereign Identity (SSI) and W3C Verifiable Credentials (VCs) can provide portable and auditable access governance over Hyperledger Fabric channels. The resulting design offers a reusable blueprint for multi-actor supply chains, including agri-food and pharmaceutical domains. Moreover, the performance achieved -- presenting a verified credential to the next stakeholder in the supply chain in 130 ms -- is promising and demonstrates the potential applicability of the approach in real-world supply chain environments.

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