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A Lightweight, Searchable, and Controllable EMR Sharing Scheme

Xiaohui Yang, Peiyin Zhao*

School of Cyber Security and Computer, Hebei University, Baoding, 071000, China

* Corresponding Author: Peiyin Zhao. Email: email

Computers, Materials & Continua 2024, 79(1), 1521-1538.


Electronic medical records (EMR) facilitate the sharing of medical data, but existing sharing schemes suffer from privacy leakage and inefficiency. This article proposes a lightweight, searchable, and controllable EMR sharing scheme, which employs a large attribute domain and a linear secret sharing structure (LSSS), the computational overhead of encryption and decryption reaches a lightweight constant level, and supports keyword search and policy hiding, which improves the high efficiency of medical data sharing. The dynamic accumulator technology is utilized to enable data owners to flexibly authorize or revoke the access rights of data visitors to the data to achieve controllability of the data. Meanwhile, the data is re-encrypted by Intel Software Guard Extensions (SGX) technology to realize resistance to offline dictionary guessing attacks. In addition, blockchain technology is utilized to achieve credible accountability for abnormal behaviors in the sharing process. The experiments reflect the obvious advantages of the scheme in terms of encryption and decryption computation overhead and storage overhead, and theoretically prove the security and controllability in the sharing process, providing a feasible solution for the safe and efficient sharing of EMR.


Cite This Article

APA Style
Yang, X., Zhao, P. (2024). A lightweight, searchable, and controllable EMR sharing scheme. Computers, Materials & Continua, 79(1), 1521-1538.
Vancouver Style
Yang X, Zhao P. A lightweight, searchable, and controllable EMR sharing scheme. Comput Mater Contin. 2024;79(1):1521-1538
IEEE Style
X. Yang and P. Zhao, "A Lightweight, Searchable, and Controllable EMR Sharing Scheme," Comput. Mater. Contin., vol. 79, no. 1, pp. 1521-1538. 2024.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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