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

Tengyue Dou1, Zhiming Zheng2,3, Wangjie Qiu2,3

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Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
Summary

This study presents a novel Attribute-Based Signcryption (ABSC) framework using blockchain and edge computing for secure medical data management. It enhances data security, reduces overhead, and improves access efficiency for smart health applications.

Keywords:
access controlattribute-based signcryptionblockchainedge computingmedical data security

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Area of Science:

  • Health Informatics
  • Cybersecurity
  • Distributed Systems

Background:

  • The digitization of healthcare necessitates robust security and privacy measures for patient data.
  • Existing systems face challenges in efficiently and securely managing sensitive medical information.
  • Integrating advanced technologies is crucial for modernizing health data management.

Purpose of the Study:

  • To introduce a novel Attribute-Based Signcryption (ABSC) framework for secure medical data management.
  • To leverage blockchain and edge computing for enhanced data security and efficiency.
  • To ensure precise access control for sensitive health information.

Main Methods:

  • Developed a novel Attribute-Based Signcryption (ABSC) framework.
  • Integrated blockchain and edge computing technologies for data processing and storage.
  • Implemented attribute-based access control for data retrieval.

Main Results:

  • The proposed ABSC framework significantly improves medical data security and privacy.
  • Demonstrated reduction in computational overhead compared to traditional methods.
  • Showcased enhanced efficiency in accessing securely stored medical data.

Conclusions:

  • The ABSC framework offers an efficient and secure solution for managing digitized medical data.
  • Blockchain and edge computing integration provides a robust platform for health data.
  • Attribute-based access control ensures authorized and precise data retrieval.