A secure IoT-based modern healthcare system with fault-tolerant decision making process
dc.contributor.author | Gope, P. | |
dc.contributor.author | Gheraibia, Y. | |
dc.contributor.author | Kabir, Sohag | |
dc.contributor.author | Sikdar, B. | |
dc.date.accessioned | 2020-10-11T11:28:48Z | |
dc.date.accessioned | 2020-10-27T14:44:13Z | |
dc.date.available | 2020-10-11T11:28:48Z | |
dc.date.available | 2020-10-27T14:44:13Z | |
dc.date.issued | 2021-03 | |
dc.identifier.citation | Gope 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.uri | http://hdl.handle.net/10454/18142 | |
dc.description | Yes | en_US |
dc.description.abstract | The 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.sponsorship | Supported in part by Singapore Ministry of Education Academic Research Fund Tier 1 (R-263-000- D63-114). | en_US |
dc.language.iso | en | en_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.subject | Internet of Things (IoT) | en_US |
dc.subject | Healthcare | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Fault tolerance | en_US |
dc.subject | Sensor fusion | en_US |
dc.subject | Research Development Fund Publication Prize Award | |
dc.title | A secure IoT-based modern healthcare system with fault-tolerant decision making process | en_US |
dc.status.refereed | Yes | en_US |
dc.date.application | 2020-07-07 | |
dc.type | Article | en_US |
dc.type.version | Accepted manuscript | en_US |
dc.description.publicnotes | Research Development Fund Publication Prize Award winner, July 2020. | |
dc.identifier.doi | https://doi.org/10.1109/JBHI.2020.3007488 | |
dc.date.updated | 2020-10-11T10:29:00Z | |
refterms.dateFOA | 2020-10-27T14:45:43Z | |
dc.date.accepted | 2020 |