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<p>The increasing adoption of wireless technologies and smart healthcare systems has amplified the need for secure and privacy-preserving access to Electronic Health Records (EHRs). Traditional access control models often struggle to balance decentralized data ownership with dynamic permission management, especially in critical scenarios involving multiple stakeholders. Moreover, EHR systems face persistent challenges such as unauthorized access, privacy leakage, and lack of transparency. To address these issues, this research proposes a Blockchain-enabled Care framework with Self-Sovereign Identity (BlocCare-SSI)<i>,</i> a robust and scalable access control framework that integrates blockchain, Self-Sovereign Identity (SSI), Verifiable Credentials (VCs), machine learning, federated learning, and differential privacy. In this architecture, patients retain ownership of their identity and data while dynamically managing access permissions via smart contracts. Emergency access policies are enforced through decentralized identifiers and Zero-Knowledge Proofs, ensuring secure authentication without revealing sensitive data. Additionally, the integration of a superb fairy-wren optimization algorithm helps to balance the privacy-utility trade-off in federated learning updates by optimizing the process of aggregating model updates from distributed clients. Experimental results demonstrate that BlocCare-SSI reduces unauthorized access rates to below 10%, achieves up to 98.4% accuracy, maintains low latency (~ 120&#xa0;ms), and scales effectively under high transaction loads. Overall, the framework enhances trust, security, and control in EHR sharing while remaining efficient and sustainable.</p>

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A blockchain-based self-sovereign identity in adaptive access control framework and differential privacy for real-time privacy-preserving EHR management

  • 期刊论文

  • 发表日期：

    2026年4月22日

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  • Samadhan Shivaji Palkar,
  • Raghav Mehra,
  • Lingaraj Hadimani

摘要

The increasing adoption of wireless technologies and smart healthcare systems has amplified the need for secure and privacy-preserving access to Electronic Health Records (EHRs). Traditional access control models often struggle to balance decentralized data ownership with dynamic permission management, especially in critical scenarios involving multiple stakeholders. Moreover, EHR systems face persistent challenges such as unauthorized access, privacy leakage, and lack of transparency. To address these issues, this research proposes a Blockchain-enabled Care framework with Self-Sovereign Identity (BlocCare-SSI), a robust and scalable access control framework that integrates blockchain, Self-Sovereign Identity (SSI), Verifiable Credentials (VCs), machine learning, federated learning, and differential privacy. In this architecture, patients retain ownership of their identity and data while dynamically managing access permissions via smart contracts. Emergency access policies are enforced through decentralized identifiers and Zero-Knowledge Proofs, ensuring secure authentication without revealing sensitive data. Additionally, the integration of a superb fairy-wren optimization algorithm helps to balance the privacy-utility trade-off in federated learning updates by optimizing the process of aggregating model updates from distributed clients. Experimental results demonstrate that BlocCare-SSI reduces unauthorized access rates to below 10%, achieves up to 98.4% accuracy, maintains low latency (~ 120 ms), and scales effectively under high transaction loads. Overall, the framework enhances trust, security, and control in EHR sharing while remaining efficient and sustainable.