4.6 Article

Design of Robust Blockchain-Envisioned Authenticated Key Management Mechanism for Smart Healthcare Applications

期刊

IEEE ACCESS
卷 11, 期 -, 页码 93032-93047

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2023.3310264

关键词

Internet of Medical Things (IoMT); smart healthcare; blockchain; authentication; key agreement; security

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The healthcare sector is crucial and with the evolution of technologies like IoT, machine learning, and blockchain, it has advantages. Data in this sector is vulnerable due to its private and confidential nature, requiring a secured framework for data transmission. This article presents a blockchain-based authentication and key management mechanism for IoMT-based smart healthcare applications (SBAKM-HS). Comparative analysis shows that SBAKM-HS outperforms other existing schemes, and security verification confirms its resilience against potential attacks. Real-tested implementation of SBAKM-HS demonstrates its impact on system performance.
The healthcare sector is a very crucial and important sector of any society, and with the evolution of the various deployed technologies, like the Internet of Things (IoT), machine learning and blockchain it has numerous advantages. However, in this section, the data is much more vulnerable than others, because the data is strictly private and confidential, and it requires a highly secured framework for the transmission of data between entities. In this article, we aim to design a blockchain-envisioned authentication and key management mechanism for the IoMT-based smart healthcare applications (in short, we call it SBAKM-HS). We compare the various attributes of the proposed SBAKM-HS and other existing schemes to demonstrate that SBAKM-HS outperforms other existing schemes. The conducted security analysis and formal security verification via Scyther automated validation tool prove the security of the proposed SBAKM-HS against various possible potential attacks. Next, a real-tested implementation of SBAKM-HS is provided to observe its impact on the performance of the system.

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