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Volume 25
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10.3390/s25092859
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

A Secure Medical Data Framework Integrating Blockchain and Edge Computing: An Attribute-Based Signcryption Approach

by
Tengyue Dou
1,*,
Zhiming Zheng
2,3,*,
Wangjie Qiu
2,3 and
Chunxia Ge
4
1
The Second School of Clinical Medicine, Binzhou Medical University, Yantai 264003, China
2
Health Blockchain Research Center, Binzhou Medical University, Yantai 264003, China
3
Institute of Artificial Intelligence, Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University, Beijing 100191, China
4
Institute of Medical Artificial Intelligence, Binzhou Medical University, Yantai 264003, China
*
Authors to whom correspondence should be addressed.
Sensors 2025, 25(9), 2859; https://doi.org/10.3390/s25092859
Submission received: 6 March 2025 / Revised: 27 April 2025 / Accepted: 28 April 2025 / Published: 30 April 2025
(This article belongs to the Section Internet of Things)
Review Reports Versions Notes

Abstract

With the rapid digitization of healthcare information, ensuring the security and privacy of patient data has become a critical research focus. This study introduces a novel Attribute-Based Signcryption (ABSC) framework combining blockchain and edge computing technologies to efficiently and securely manage medical data. The framework collects data via smart devices, which is then processed and encrypted at edge nodes and stored securely on the blockchain. Access to sensitive information is controlled with precision by predefined attribute sets, ensuring that only authorized users can retrieve the data. The experimental results demonstrate the significant advantages of this framework in improving data security, reducing computational overhead, and enhancing access efficiency.
Keywords: attribute-based signcryption; blockchain; edge computing; access control; medical data security attribute-based signcryption; blockchain; edge computing; access control; medical data security

Share and Cite

MDPI and ACS Style

Dou, T.; Zheng, Z.; Qiu, W.; Ge, C. A Secure Medical Data Framework Integrating Blockchain and Edge Computing: An Attribute-Based Signcryption Approach. Sensors 2025, 25, 2859. https://doi.org/10.3390/s25092859

AMA Style

Dou T, Zheng Z, Qiu W, Ge C. A Secure Medical Data Framework Integrating Blockchain and Edge Computing: An Attribute-Based Signcryption Approach. Sensors. 2025; 25(9):2859. https://doi.org/10.3390/s25092859

Chicago/Turabian Style

Dou, Tengyue, Zhiming Zheng, Wangjie Qiu, and Chunxia Ge. 2025. "A Secure Medical Data Framework Integrating Blockchain and Edge Computing: An Attribute-Based Signcryption Approach" Sensors 25, no. 9: 2859. https://doi.org/10.3390/s25092859

APA Style

Dou, T., Zheng, Z., Qiu, W., & Ge, C. (2025). A Secure Medical Data Framework Integrating Blockchain and Edge Computing: An Attribute-Based Signcryption Approach. Sensors, 25(9), 2859. https://doi.org/10.3390/s25092859

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