JOURNAL ARTICLE

BPDST: Blockchain-Based Privacy-Preserving Data Sharing on Thin Client for Electronic Medical Records

Lu XuMeng-Chen LinYong FengYani Sun

Year: 2022 Journal:   Journal of Computing and Information Technology Vol: 29 (4)Pages: 235-250   Publisher: Faculty of Electrical Engineering and Computing, University of Zagreb

Abstract

Sharing medical data can improve the quality of medical services and reduce costs. However, the current Electronic Medical Records (EMRs) are scattered and easily tampered with, which is not conducive to the sharing of EMRs and is not compatible with thin clients. Fortunately, blockchain technology is tamper-proof, decentralized, auditable, and meets the above requirements. To solve these problems, we first propose Blockchain-Based Privacy-Preserving Data Sharing on Thin-Client for Electronic Medical Records (BPDST) approach that combines the k-anonymity and cloud storage, which thin clients can run like a full-node user and safeguard user's EMRs privacy concurrently. Using this approach, patients can control their own EMRs, while the consortium blockchain is responsible for the transaction process and sending the correct results to the patients. BPDST can also share information without leaking or tampering with EMRs' privacy, achieving the purpose of sharing medical data and privacy protection. In the medical field, this study can effectively protect users' privacy when sharing medical data to provide convenience for users and break the "island" phenomenon among various medical institutions. Security analysis and extensive experiments show that BPDST is secure and practical for sharing EMRs.

Keywords:
Computer science Anonymity Data sharing Blockchain Computer security Database transaction Internet privacy Information privacy Database

Metrics

4
Cited By
1.52
FWCI (Field Weighted Citation Impact)
13
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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