计算机科学
物联网
块链
计算机安全
加密
工业互联网
互联网隐私
医疗保健
互联网
数据安全
业务
万维网
经济
经济增长
作者
Abdullah Ayub Khan,Sami Bourouis,M. M. Kamruzzaman,Myriam Hadjouni,Zaffar Ahmed Shaikh,Asif Ali Laghari,Hela Elmannai,Sami Dhahbi
标识
DOI:10.1109/jsen.2023.3273851
摘要
The industrial Internet of Things (IIoT) has gained more attention because of the self-governing nature of system configuration with interoperable application connectivity. In the E-healthcare environment, it cooperates with medical sensors to capture, examine, analyze, preserve, and document day-to-day transactions of patients in real-time. The integration of E-healthcare and IIoT provides an analytical platform to handle a large amount of data with a low cost of cloud-enabling scalable storage. Throughout the transformation, patients' personal information is at risk while exchanging records over centralized server-based systems. Thus, the rate of node connectivity, failure of parallel data sharing, and deliverance-related issues increase. In this article, we present solutions in three folds. First, the article proposes a novel and secure architecture for E-healthcare data security using a blockchain-distributed ledger technology named BHIIoT. Second, the transformation in the lifecycle of medical wireless sensor networks (WSNs) for data management and optimization with a distributed layered hierarchy is developed, which enhances the network resources and increases trust in the blockchain-enabled peer-to-peer (P2P) environment. Third, the proposed BHIIoT uses the NuCypher threshold re-encryption mechanism for data encryption and protects shared resources in the form of blocks preserved in a blockchain immutable storage. For instance, chain codes are deployed to automate authentication, logging, index information deliverance, and trace transactions to resist illegal activities in the E-healthcare distributed application. The customized lightweight blockchain multi-proof-of-work (PoW) and multi-proof-of-stake (PoS) are designed with a digital signature for improving the consumption of resources and reducing the load of storage while the transaction process of E-healthcare IIoT is scheduled.
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