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

Gaoyuan Quan; Zhongyuan Yao; Longfei Chen; Yonghao Fang; Weihua Zhu; Xueming Si; Min Li

doi:10.1016/j.heliyon.2023.e22542

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

Heliyon. 2023 Nov 22;9(12):e22542. doi: 10.1016/j.heliyon.2023.e22542. eCollection 2023 Dec.

Authors

Gaoyuan Quan^{1

2

3}, Zhongyuan Yao^{1

2

3}, Longfei Chen^{1

2

3}, Yonghao Fang^{1

2

3}, Weihua Zhu^{1

2

3}, Xueming Si^{1

2}, Min Li^{1

2

3}

Affiliations

¹ Frontier Information Technology Research Institute, Zhongyuan University of Technology, 450007, Zhengzhou, China.
² Henan International Joint Laboratory of Blockchain and Data Sharing, 450007, Zhengzhou, China.
³ Henan Key Laboratory of Network Cryptography Technology, 450007, Zhengzhou, China.

Abstract

Traditional cloud-centric approaches to medical data sharing pose risks related to real-time performance, security, and stability. Medical and healthcare data encounter challenges like data silos, privacy breaches, and transmission latency. In response to these challenges, this paper introduces a blockchain-based framework for trustworthy medical data sharing in edge computing environments. Leveraging healthcare consortium edge blockchains, this framework enables fine-grained access control to medical data. Specifically, it addresses the real-time, multi-attribute authorization challenge in CP-ABE through a Distributed Attribute Authorization strategy (DAA) based on blockchain. Furthermore, it tackles the key security issues in CP-ABE through a Distributed Key Generation protocol (DKG) based on blockchain. To address computational resource constraints in CP-ABE, we enhance a Distributed Modular Exponentiation Outsourcing algorithm (DME) and elevate its verifiable probability to "1". Theoretical analysis establishes the IND-CPA security of this framework in the Random Oracle Model. Experimental results demonstrate the effectiveness of our solution for resource-constrained end-user devices in edge computing environments.

Keywords: Blockchain; CP-ABE; Distributed attribute authorization strategy; Distributed key generation protocol; Distributed modular exponentiation outsourcing algorithm; Trustworthy data sharing.