Data Security in Healthcare Industrial Internet of Things With Blockchain
Abdullah Ayub Khan, Sami Bourouis, M. M. Kamruzzaman, Myriam Hadjouni, Zaffar Ahmed Shaikh, Asif Ali Laghari, Hela Elmannai, Sami Dhahbi
Abstract
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.