BAPS:区块链辅助的个人健康记录隐私保护和安全共享方案(IoMT

Hongzhi Li, Peng Zhu, Jiacun Wang, Giancarlo Fortino
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摘要

医疗物联网(IoMT)已逐渐成为智慧医疗的主要解决方案,而云辅助的 IoMT 正在成为医疗领域实现数据采集、细粒度数据分析和共享的重要计算范式。由于物联网医疗数据可以频繁共享,用于精确诊断、预后预测和健康咨询,如何解决物联网医疗数据共享与隐私保护之间的矛盾是一个难题。此外,云辅助医疗系统仍存在单点故障风险,通常存在扩展性差、响应延迟大等问题。因此,我们提出了一种基于区块链的 IoMT 数据隐私保护和安全共享方案,命名为 BAPS。BAPS 采用星际文件系统(IPFS)来存储加密记录。然后,在不泄露个人隐私的情况下,采用非交互式零知识证明协议来验证存储的数据是否符合数据请求者的特定要求。此外,我们还将加密原语和去中心化智能合约相结合,以实现用户匿名性。最后,我们利用区块链和代理重加密来实现医疗保健数据的细粒度共享。安全分析表明,该方案符合预期的安全要求。与最先进的方案相比,BAPS 的计算成本降低了约 6%,通信开销降低了约 8%。理论分析和实验结果都表明,该方案能以可接受的计算和通信成本实现保护隐私和安全的数据共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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BAPS: a blockchain-assisted privacy-preserving and secure sharing scheme for PHRs in IoMT

Internet of Medical Things (IoMT) has gradually become the main solution for smart healthcare, and cloud-assisted IoMT is becoming a critical computing paradigm to achieve data collection, fine-grained data analysis, and sharing in healthcare domains. Since IoMT data can be frequently shared for accurate diagnosis, prognosis prediction, and health counseling, how to solve the contradiction between data sharing and privacy protection for IoMT data is a challenge problem. Besides, the cloud-assisted medical system is still at risk of a single point of failure and usually suffers from poor scalability and large response delay. Hence, we propose a blockchain-based privacy-preserving and secure sharing scheme for IoMT data, named BAPS. In BAPS, the Interplanetary File System (IPFS) is adopted to store encrypted records. Then, a non-interactive zero-knowledge proof protocol is employed to verify whether the stored data meets the specific request from data requesters without disclosing personal privacy. Moreover, we combine cryptographic primitives and decentralized smart contracts to achieve user anonymity. Finally, we leverage blockchain and proxy re-encryption to achieve fine-grained sharing of healthcare data. Security analysis indicates that this scheme meets the expected security requirements. The computational cost of BAPS is reduced by about 6% compared to state-of-the-art schemes, while the communication overhead is reduced by about 8%. Both theoretical analysis and experiment results show that this scheme can realize privacy-preserving and secure data sharing with acceptable computational and communication costs.

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