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hChain 4.0: A Secure and Scalable Permissioned Blockchain for EHR Management in Smart Healthcare

Main:15 Pages
7 Figures
Bibliography:5 Pages
12 Tables
Appendix:1 Pages
Abstract

The growing utilization of Internet of Medical Things (IoMT) devices, including smartwatches and wearable medical devices, has facilitated real-time health monitoring and data analysis to enhance healthcare outcomes. These gadgets necessitate improved security measures to safeguard sensitive health data while tackling scalability issues in real-time settings. The proposed system, hChain 4.0, employs a permissioned blockchain to provide a secure and scalable data infrastructure designed to fulfill these needs. This stands in contrast to conventional systems, which are vulnerable to security flaws or rely on public blockchains, constrained by scalability and expense. The proposed approach introduces a high-privacy method in which health data are encrypted using the Advanced Encryption Standard (AES) for time-efficient encryption, combined with Partial Homomorphic Encryption (PHE) to enable secure computations on encrypted data, thereby enhancing privacy. Moreover, it utilizes private channels that enable isolated communication and ledger between stakeholders, ensuring robust privacy while supporting collaborative operations. The proposed framework enables anonymized health data sharing for medical research by pseudonymizing patient identity. Additionally, hChain 4.0 incorporates Attribute-Based Access Control (ABAC) to provide secure electronic health record (EHR) sharing among authorized parties, where ABAC ensures fine-grained permission management vital for multi-organizational healthcare settings. Experimental assessments indicate that the proposed approach achieves higher scalability, cost-effectiveness, and validated security.

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@article{alruwaill2025_2505.13861,
  title={ hChain 4.0: A Secure and Scalable Permissioned Blockchain for EHR Management in Smart Healthcare },
  author={ Musharraf N. Alruwaill and Saraju P. Mohanty and Elias Kougianos },
  journal={arXiv preprint arXiv:2505.13861},
  year={ 2025 }
}
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