A Privacy-Preserving Medical Data Sharing Scheme Based on Blockchain

With the increasing penetration of the Internet of things (IoT) into people's lives, the limitations of traditional medical systems are emerging. First, the typical way of handling sensitive information can easily lead to privacy disclosure. Second, the medical system is relatively isolated. It is difficult for one medical system to share data with another, and the scope of users' activities is limited within the system boundary. To solve these two problems, we propose a new privacy-preserving medical data-sharing scheme by introducing the authorization mechanism and attribute-based encryption (ABE) based on blockchain, which breaks system boundaries and realizes data sharing among several medical institutions. ABE is used to realize scalable access control. In addition, doctors can share their knowledge to diagnose users by introducing many-to-many matching, which means that patients' health data can be represented by multiple keywords and doctors' expertise can be represented by multiple interests. We provide the correctness and security analysis of our scheme and implement a prototype tool on Ethereum. The experimental results show that our scheme solves the contradiction between the privacy preservation of medical data and the necessity of data sharing.

Automated summary

With the increasing adoption of IoT in people's lives, the limitations of traditional medical systems, such as privacy disclosure and system isolation, are becoming evident. To address these issues, we propose a privacy-preserving medical data-sharing scheme based on blockchain with an authorization mechanism and attribute-based encryption. Our scheme breaks system boundaries and facilitates data sharing among multiple medical institutions. We also provide a prototype tool implemented on Ethereum, showing that our scheme effectively balances medical data privacy and the need for data sharing.