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dc.contributor.authorGope, P.
dc.contributor.authorGheraibia, Y.
dc.contributor.authorKabir, Sohag
dc.contributor.authorSikdar, B.
dc.date.accessioned2020-10-11T11:28:48Z
dc.date.accessioned2020-10-27T14:44:13Z
dc.date.available2020-10-11T11:28:48Z
dc.date.available2020-10-27T14:44:13Z
dc.date.issued2021-03
dc.identifier.citationGope P, Gheraibia Y, Kabir S et al (2021) A secure IoT-based modern healthcare system with fault-tolerant decision making process. IEEE Journal of Biomedical and Health Informatics. 25(3): 862-873.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18142
dc.descriptionYesen_US
dc.description.abstractThe advent of Internet of Things (IoT) has escalated the information sharing among various smart devices by many folds, irrespective of their geographical locations. Recently, applications like e-healthcare monitoring has attracted wide attention from the research community, where both the security and the effectiveness of the system are greatly imperative. However, to the best of our knowledge none of the existing literature can accomplish both these objectives (e.g., existing systems are not secure against physical attacks). This paper addresses the shortcomings in existing IoT-based healthcare system. We propose an enhanced system by introducing a Physical Unclonable Function (PUF)-based authentication scheme and a data driven fault-tolerant decision-making scheme for designing an IoT-based modern healthcare system. Analyses show that our proposed scheme is more secure and efficient than existing systems. Hence, it will be useful in designing an advanced IoT-based healthcare system.en_US
dc.description.sponsorshipSupported in part by Singapore Ministry of Education Academic Research Fund Tier 1 (R-263-000- D63-114).en_US
dc.language.isoenen_US
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectInternet of Things (IoT)en_US
dc.subjectHealthcareen_US
dc.subjectMachine learningen_US
dc.subjectFault toleranceen_US
dc.subjectSensor fusionen_US
dc.subjectResearch Development Fund Publication Prize Award
dc.titleA secure IoT-based modern healthcare system with fault-tolerant decision making processen_US
dc.status.refereedYesen_US
dc.date.application2020-07-07
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.description.publicnotesResearch Development Fund Publication Prize Award winner, July 2020.
dc.identifier.doihttps://doi.org/10.1109/JBHI.2020.3007488
dc.date.updated2020-10-11T10:29:00Z
refterms.dateFOA2020-10-27T14:45:43Z
dc.date.accepted2020


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