Journal article
MedExChain: Enabling Secure and Efficient PHR Sharing Across Heterogeneous Blockchains
IEEE internet of things journal, Vol.First online(16), pp.1-1
12/06/2025
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Abstract
With the proliferation of intelligent healthcare systems, patients' Personal Health Records (PHR) generated by the Internet of Medical Things (IoMT) in real-time play a vital role in disease diagnosis. The integration of emerging blockchain technologies significantly enhanced the data security inside intelligent medical systems. However, data sharing across different systems based on varied blockchain architectures is still constrained by the unsolved performance and security challenges. This paper constructs a cross-chain data sharing scheme, termed MedExChain, which aims to securely share PHR across heterogeneous blockchain systems. The MedExChain scheme ensures that PHR can be shared across chains even under the performance limitations of IoMT devices. Additionally, the scheme incorporates Cryptographic Reverse Firewall (CRF) and a blockchain audit mechanism to defend against both internal and external security threats. The robustness of our scheme is validated through BAN logic, Scyther tool, Chosen Plaintext Attack (CPA) and Algorithm Substitution Attack (ASA) security analysis verification. Extensive evaluations demonstrate that MedExChain significantly minimizes computation and communication overhead, making it suitable for IoMT devices and fostering the efficient circulation of PHR across diverse blockchain systems.
Details
- Title
- MedExChain: Enabling Secure and Efficient PHR Sharing Across Heterogeneous Blockchains
- Creators
- Yongyang Lv - Tianjin UniversityXiaohong Li - Tianjin UniversityKui Chen - Tianjin UniversityZhe Hou - School of Information and Communication Technology (Australia)Guangdong Bai - The University of QueenslandRuitao Feng - Southern Cross University
- Publication Details
- IEEE internet of things journal, Vol.First online(16), pp.1-1
- Publisher
- IEEE
- Grant note
- National Key Research and Development Program of China: 2021YFF1201102
This work was supported by the National Key Research and Development Program of China under Grant 2021YFF1201102.
- Identifiers
- 991013291032402368
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article