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Related Experiment Video

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A trusted medical data sharing framework for edge computing leveraging blockchain and outsourced computation.

Gaoyuan Quan1,2,3, Zhongyuan Yao1,2,3, Longfei Chen1,2,3

  • 1Frontier Information Technology Research Institute, Zhongyuan University of Technology, 450007, Zhengzhou, China.

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|December 13, 2023
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Summary
This summary is machine-generated.

This study introduces a blockchain framework for secure medical data sharing in edge computing. It enhances privacy and real-time access control, overcoming limitations of traditional cloud systems.

Keywords:
BlockchainCP-ABEDistributed attribute authorization strategyDistributed key generation protocolDistributed modular exponentiation outsourcing algorithmTrustworthy data sharing

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Area of Science:

  • Computer Science
  • Information Security
  • Healthcare Informatics

Background:

  • Traditional cloud-based medical data sharing faces challenges in real-time performance, security, and stability.
  • Issues include data silos, privacy breaches, and transmission latency in healthcare data management.

Purpose of the Study:

  • To propose a novel blockchain-based framework for trustworthy medical data sharing within edge computing environments.
  • To address fine-grained access control, real-time multi-attribute authorization, and key security issues in medical data sharing.

Main Methods:

  • Implementation of a healthcare consortium edge blockchain for data sharing.
  • Development of a Distributed Attribute Authorization (DAA) strategy for real-time, multi-attribute authorization.
  • Integration of a Distributed Key Generation (DKG) protocol to enhance CP-ABE security.
  • Enhancement of a Distributed Modular Exponentiation Outsourcing (DME) algorithm to address computational constraints.

Main Results:

  • The framework provides fine-grained access control for medical data.
  • The DAA and DKG strategies effectively address authorization and security challenges.
  • Enhanced DME algorithm improves efficiency for resource-constrained devices.
  • Theoretical analysis confirms IND-CPA security in the Random Oracle Model.

Conclusions:

  • The proposed blockchain framework offers a secure and efficient solution for medical data sharing in edge computing.
  • It effectively mitigates risks associated with traditional cloud-centric approaches.
  • The solution is particularly beneficial for resource-constrained end-user devices in edge environments.