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RePriChain: A Privacy-Enhanced Blockchain With Dynamic Reputation Management for Industry 4.0 Supply Chains
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DOI：10.1109/tii.2026.3682298.png)
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Abstract
En 中文
In the context of Industry 4.0, increasing data interconnectivity in supply chains introduces critical challenges, notably in dynamically detecting evolving malicious behaviors and safeguarding sensitive information. While existing reputation-based blockchain systems enhance transparency and efficiency, they remain vulnerable to slow adaptive attacks and privacy breaches due to limited adaptability in their evaluation mechanisms. To address these limitations, we propose RePriChain, a blockchain-based supply chain model that integrates dynamic reputation management with robust privacy protection. Specifically, we design a logistic regression-based mechanism to dynamically evaluate node reputations and apply adaptive caps based on historical behavior, enabling the timely identification and penalization of malicious actors. To preserve confidentiality during reputation updates, we incorporate confidential smart contracts and fully homomorphic encryption for secure on-chain computation. In addition, an enhanced Access Control List framework is employed for precise permission management, complemented by an input packing mechanism to improve cryptographic computational efficiency effectively. Simulation results demonstrate that the model effectively balances privacy protection and consensus efficiency, confirming its feasibility and effectiveness in supply chain management applications.
Keywords:
Blockchain-based supply chain
fully homomorphic encryption (FHE)
privacy protection
reputation
smart contract
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