Conditional Anonymous Remote Healthcare Data Sharing Over Blockchain

Conditional Anonymous Remote Healthcare Data Sharing Over Blockchain
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DOI:
10.1109/jbhi.2022.3183397
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发表时间:
2022-06
影响因子:
7.7
通讯作者:
Jingwei Liu;Wei Jiang;Rong Sun;A. Bashir;M. Alshehri;Qiaozhi Hua;K. Yu
Jingwei Liu;Wei Jiang;Rong Sun;A. Bashir;M. Alshehri;Qiaozhi Hua;K. Yu
中科院分区:
工程技术1区
文献类型:
--
作者:
Jingwei Liu;Wei Jiang;Rong Sun;A. Bashir;M. Alshehri;Qiaozhi Hua;K. Yu

文献摘要

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作为医疗数据的重要载体,由各种传感器产生的电子病历(EMRS),即可穿戴的、可植入的,对于人工智能和机器学习来说是非常有价值的研究材料。EMRs的高效流通可以改善远程医疗服务,促进相关医疗行业的发展。然而,在传统的集中式数据共享架构中,隐私和可追溯性之间的平衡仍然不能很好地处理。针对完全匿名共享方案中恶意用户无法锁定的问题,提出了一种分布式联合体区块链上可追踪的匿名远程医疗数据存储与共享方案。通过链上+链下的模式,缓解了医疗区块链海量数据存储压力。该方案通过引入改进的代理重加密机制,实现了对外包数据的良好访问控制,并能防止半可信云服务器与试图擅自泄露EMR的数据请求者之间的共谋。与已有方案相比,我们的方案可以提供更低的重复EMRS共享的计算开销,从而导致更高效的整体性能。
As an important carrier of healthcare data, Electronic Medical Records (EMRs) generated from various sensors, i.e., wearable, implantable, are extremely valuable research materials for artificial intelligence and machine learning. The efficient circulation of EMRs can improve remote medical services and promote the development of the related healthcare industry. However, in traditional centralized data sharing architectures, the balance between privacy and traceability still cannot be well handled. To address the issue that malicious users cannot be locked in the fully anonymous sharing schemes, we propose a trackable anonymous remote healthcare data storing and sharing scheme over decentralized consortium blockchain. Through an “on-chain & off-chain” model, it relieves the massive data storage pressure of medical blockchain. By introducing an improved proxy re-encryption mechanism, the proposed scheme realizes the fine-gained access control of the outsourced data, and can also prevent the collusion between semi-trusted cloud servers and data requestors who try to reveal EMRs without authorization. Compared with the existing schemes, our solution can provide a lower computational overhead in repeated EMRs sharing, resulting in a more efficient overall performance.