A Blockchain-Based Hybrid Model for IoMT-Enabled Intelligent Healthcare System

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dc.contributor.authorRehman, Ateeq Ur
dc.contributor.authorTariq, Nargis
dc.contributor.authorJan, Mian Ahmad
dc.contributor.authorKhan, Fazlullah
dc.contributor.authorSong, Houbing
dc.contributor.authorIbrahim, Muhammad
dc.date.accessioned2024-04-10T19:05:51Z
dc.date.available2024-04-10T19:05:51Z
dc.date.issued2024-03-18
dc.description.abstractIn recent years, the healthcare industry has undergone a digital transformation, making patient data publicly available and accessible. Healthcare units make a portion of the data public while keeping the rest private, necessitating various mechanisms for security and privacy. Blockchain technology has been widely adopted in the healthcare sector to secure data transactions. However, public blockchains face challenges in scalability and privacy, whereas private blockchains struggle with centralization, interoperability, and complexity. To address these challenges, we propose an Internet of Medical Things (IoMT)-based hybrid blockchain architecture. The proposed architecture combines the decentralized Ethereum and the centralized Hyperledger Fabric blockchain (Eth-Fab) using SQLite to leverage Ethereum smart contracts with the Hyperledger permission model. Moreover, we introduce access control strategies to enhance patient data authentication and authorization. We have employed machine learning algorithms to assist healthcare practitioners in accurately detecting diseases and making time-efficient decisions. Additionally, we modeled the proposed architecture using the M/M/1 queuing model and derived closed-form expressions for latency, throughput, and server utilization. The validity of these expressions was verified through Monte Carlo simulations. The results demonstrate that higher service times (block generation) yield better outcomes in terms of latency, throughput, and utilization, regardless of the arrival time, i.e., transactions in the mining pool.
dc.description.sponsorshipThis work was supported by the Ningbo Municipal Bureau of Science and Technology under Grant 2023J194.
dc.description.urihttps://ieeexplore.ieee.org/abstract/document/10472119
dc.format.extent9 pages
dc.genrejournal articles
dc.genrepostprints
dc.identifierdoi:10.13016/m2qyhj-9nfy
dc.identifier.citationRehman, Ateeq Ur, Nargis Tariq, Mian Ahmad Jan, Fazlullah Khan, Houbing Song, and Muhammad Ibrahim. “A Blockchain-Based Hybrid Model for IoMT-Enabled Intelligent Healthcare System.” IEEE Transactions on Network Science and Engineering, 2024, 1–9. https://doi.org/10.1109/TNSE.2024.3376069.
dc.identifier.urihttps://doi.org/10.1109/TNSE.2024.3376069
dc.identifier.urihttp://hdl.handle.net/11603/33007
dc.language.isoen_US
dc.publisherIEEE
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Information Systems Department
dc.rights© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectBlockchains
dc.subjectData models
dc.subjectInternet of Medical Things
dc.subjectDiseases
dc.subjectDistributed ledger
dc.subjectEthereum
dc.subjectFabrics
dc.subjecthyperledger fabric
dc.subjectIris recognition
dc.subjectM/M/1 queuing model
dc.subjectmachine learning
dc.subjectMedical services
dc.subjectmonte carlo
dc.subjectprivacy
dc.subjectsecurity
dc.titleA Blockchain-Based Hybrid Model for IoMT-Enabled Intelligent Healthcare System
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-2631-9223

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