Decentralized Authentication of Distributed Patients in Hospital Networks Using Blockchain

Decentralized Authentication of Distributed Patients in Hospital Networks Using Blockchain
复制标题

DOI:
10.1109/jbhi.2020.2969648
复制
发表时间:
2020-08-01
影响因子:
7.7
通讯作者:
Aledhari, Mohammed
Aledhari, Mohammed
中科院分区:
工程技术1区
文献类型:
--
作者:
Yazdinejad, Abbas;Srivastava, Gautam;Aledhari, Mohammed

文献摘要

被引文献

相似文献

在任何互连的医疗保健系统中(例如,那些是智慧城市的一部分),病人,医生,护士和其他医疗从业人员之间的互动需要安全和高效。例如,所有成员都必须经过身份验证并安全互连,以最大限度地减少给定网络中的安全和隐私漏洞。然而,引入安全和隐私保护解决方案也可能导致处理和其他相关服务的延迟,在危急情况下可能威胁患者的生命。文献中提出的相当多的身份验证和安全系统都是集中式的,并且经常需要依赖一些安全且可信的第三方实体来促进安全通信。这又增加了认证所需的时间,并由于已知的开销而降低了患者和医院间通信的吞吐量。在本文中,我们提出了一种新的分布式医院网络中患者的分散认证,通过利用区块链。我们对医疗保健环境的概念包括患者和专职医疗人员(医生、护士、技术人员等)以及患者的健康信息。从我们的深入模拟的结果表明,所提出的架构的潜在效用。例如,它表明,所提出的架构的分布式附属医院网络之间的分散认证不需要重新认证。这一改进将对增加吞吐量、减少开销、改善响应时间和降低网络能耗产生相当大的影响。我们还提供了我们的模型与没有区块链的网络基础模型的比较分析,以显示我们提出的解决方案的整体有效性。
In any interconnected healthcare system (e.g., those that are part of a smart city), interactions between patients, medical doctors, nurses and other healthcare practitioners need to be secure and efficient. For example, all members must be authenticated and securely interconnected to minimize security and privacy breaches from within a given network. However, introducing security and privacy-preserving solutions can also incur delays in processing and other related services, potentially threatening patients lives in critical situations. A considerable number of authentication and security systems presented in the literature are centralized, and frequently need to rely on some secure and trusted third-party entity to facilitate secure communications. This, in turn, increases the time required for authentication and decreases throughput due to known overhead, for patients and inter-hospital communications. In this paper, we propose a novel decentralized authentication of patients in a distributed hospital network, by leveraging blockchain. Our notion of a healthcare setting includes patients and allied health professionals (medical doctors, nurses, technicians, etc), and the health information of patients. Findings from our in-depth simulations demonstrate the potential utility of the proposed architecture. For example, it is shown that the proposed architecture's decentralized authentication among a distributed affiliated hospital network does not require re-authentication. This improvement will have a considerable impact on increasing throughput, reducing overhead, improving response time, and decreasing energy consumption in the network. We also provide a comparative analysis of our model in relation to a base model of the network without blockchain to show the overall effectiveness of our proposed solution.