Scholarlink

<p>The transition toward Industry 5.0 necessitates unprecedented multi-stakeholder collaboration within smart factories, raising critical concerns regarding data privacy and access control. Traditional centralized systems prove inadequate for this paradigm shift, struggling to balance secure data sharing with system interoperability. While existing research has explored access control mechanisms and zero-knowledge proofs (ZKPs), these approaches lack systematic integration and comprehensive validation. To address this gap, we propose a blockchain-enabled framework leveraging Hyperledger Fabric that cohesively integrates cryptographic and architectural mechanisms for privacy-preserving data management. Our architecture introduces a dual-layer privacy model: coarse-grained data segregation through multi-channel isolation complemented by fine-grained confidentiality via embedded zero-knowledge proofs for sensitive transactional data. This enables stakeholders to verify business rule compliance without exposing private information. Furthermore, we implement dynamic attribute-based access control (ABAC) within smart contracts for context-aware permission enforcement, overcoming static access policy limitations. Experimental evaluation demonstrates the framework’s effectiveness: maintaining consistent ZKP entropy of approximately 7.65 bits/byte for robust privacy, while achieving 21 transactions per second throughput with 3-second average latency. These results validate that our architecture delivers a practical and scalable solution for secure, privacy-preserving data governance in Industry 5.0 smart manufacturing environments.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A blockchain-based privacy-preserving data governance framework for Industry 5.0 smart factories

  • 期刊论文

  • 发表日期：

    2025年11月19日

查看全文
  • Ruikang Sun,
  • Shaopeng Guan

摘要

The transition toward Industry 5.0 necessitates unprecedented multi-stakeholder collaboration within smart factories, raising critical concerns regarding data privacy and access control. Traditional centralized systems prove inadequate for this paradigm shift, struggling to balance secure data sharing with system interoperability. While existing research has explored access control mechanisms and zero-knowledge proofs (ZKPs), these approaches lack systematic integration and comprehensive validation. To address this gap, we propose a blockchain-enabled framework leveraging Hyperledger Fabric that cohesively integrates cryptographic and architectural mechanisms for privacy-preserving data management. Our architecture introduces a dual-layer privacy model: coarse-grained data segregation through multi-channel isolation complemented by fine-grained confidentiality via embedded zero-knowledge proofs for sensitive transactional data. This enables stakeholders to verify business rule compliance without exposing private information. Furthermore, we implement dynamic attribute-based access control (ABAC) within smart contracts for context-aware permission enforcement, overcoming static access policy limitations. Experimental evaluation demonstrates the framework’s effectiveness: maintaining consistent ZKP entropy of approximately 7.65 bits/byte for robust privacy, while achieving 21 transactions per second throughput with 3-second average latency. These results validate that our architecture delivers a practical and scalable solution for secure, privacy-preserving data governance in Industry 5.0 smart manufacturing environments.