IEEE/ACM Trans Comput Biol Bioinform. 2024 Jul-Aug;21(4):1117-1128. doi: 10.1109/TCBB.2023.3281819. Epub 2024 Aug 8.
Digital healthcare services have become an integral part of our lives. There is an increasing number of healthcare professionals and patients using medical wearables for diagnosis and treatment, which simplifies and improves the diagnostic and therapeutic process. However, inappropriate use of medical data may result in the disclosure of private patient information. For protecting patients' privacy when using medical wearables, we propose a new blockchain-based data access security scheme. Specifically, the elliptic curve encryption algorithm and zero-knowledge authentication method are used to authenticate the identity of patients and doctors in the blockchain network. Furthermore, we develop a smart recommendation method based on deep reinforcement learning to recommend appropriate doctors for patients. Next, patients allow recommended doctors to access their medical data, and smart contracts specifically designed for secure data access to medical wearables will regulate subsequent data access. The security analysis and experimental results demonstrate that the proposed scheme can effectively protect patients' privacy during treatment through secure authentication and data access for medical wearables.
数字医疗服务已经成为我们生活中不可或缺的一部分。越来越多的医疗专业人员和患者使用医疗可穿戴设备进行诊断和治疗,这简化并改善了诊断和治疗过程。然而,不恰当地使用医疗数据可能会导致患者的私人信息泄露。为了在使用医疗可穿戴设备时保护患者的隐私,我们提出了一种新的基于区块链的数据访问安全方案。具体来说,该方案使用椭圆曲线加密算法和零知识证明方法在区块链网络中对患者和医生的身份进行认证。此外,我们还开发了一种基于深度强化学习的智能推荐方法,为患者推荐合适的医生。接下来,患者允许推荐的医生访问他们的医疗数据,并且专门为安全访问医疗可穿戴设备设计的智能合约将规范后续的数据访问。安全分析和实验结果表明,所提出的方案可以通过安全认证和医疗可穿戴设备的数据访问来有效地保护患者在治疗过程中的隐私。