Open Access

ARTICLE

Secure Model of Medical Data Sharing for Complex Scenarios

by Wei She, Yue Hu, Zhao Tian, Guoning Liu, Bo Wang, Wei Liu

1 The School of Software Technology, Zhengzhou University, Zhengzhou, 450001, China.
2 The Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou, 450000, China.
3 The School of Mechanical Engineering, Zhengzhou University, Zhengzhou, 450001, China.
4 The State University of New York at Buffalo, Buffalo, 14200, America.
* Corresponding Author: Wei Liu. Email: wliu@zzu.edu.cn

Journal of Cyber Security 2019, 1(1), 11-17. https://doi.org/10.32604/jcs.2019.05856

Abstract

In order to secure the massive heterogeneous medical data for the complex scenarios and improve the information sharing efficiency in healthcare system, a distributed medical data ledger model (DMDL) is proposed in this paper. This DMDL model has adopted the blockchain technology including the function decoupling, the distributed consensus, smart contract as well as multi-channel communication structure of consortium blockchain. The DMDL model not only has high adaptability, but also meets the requirements of the medical treatment processes which generally involve multi-entities, highly private information and secure transaction. The steps for processing the medical data are also introduced. Additionally, the methods for the definition and application of the DMDL model are presented for three specific medical scenarios, i.e., the management of the heterogeneous data, copyright protection for medical data and the secure utilization of sensitive data. The advantage of the proposed DMDL model is demonstrated by comparing with the models which are being currently adopted in healthcare system.

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Keywords

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