Rajan Kumar Dudeja
Secure and pervasive communication framework using Named Data Networking for connected healthcare
Dudeja, Rajan Kumar; Bali, Rasmeet Singh; Aujla, Gagangeet Singh
Authors
Rasmeet Singh Bali
Dr Gagangeet Aujla gagangeet.s.aujla@durham.ac.uk
Associate Professor in Computer Science
Abstract
Connected healthcare system is one of the most critical Internet of Things (IoT) applications offering numerous healthcare services. But it requires the next-generation technologies to collude with the IoT standards to provide prompt end-user services. Thus, a data-centric network architecture like, Named Data Network (NDN) can be effective to tackle the concerns related to communication in the connected healthcare. In this article, we propose a Secure and Pervasive Health Care Framework (SecPHCF) that attempts to process healthcare data securely and transmit it using NDN thereby aiding faster healthcare support. The data dissemination model in SecPHCF contains two operating modes, (a) a consumer-based model where the end-user initiates the data communication process and (b) a producer-based model where alert messages indicating critical conditions trigger the transmission. SecPHCF is validated through extensive simulations on different network scenarios by considering evaluation parameters such as throughput, network delay, packet delivery ratio, and computation overheads.
Citation
Dudeja, R. K., Bali, R. S., & Aujla, G. S. (2022). Secure and pervasive communication framework using Named Data Networking for connected healthcare. Computers and Electrical Engineering, 100, Article 107806. https://doi.org/10.1016/j.compeleceng.2022.107806
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 8, 2022 |
Online Publication Date | Mar 4, 2022 |
Publication Date | 2022-05 |
Deposit Date | May 6, 2022 |
Publicly Available Date | Mar 4, 2023 |
Journal | Computers and Electrical Engineering |
Print ISSN | 0045-7906 |
Electronic ISSN | 0045-7906 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 100 |
Article Number | 107806 |
DOI | https://doi.org/10.1016/j.compeleceng.2022.107806 |
Public URL | https://durham-repository.worktribe.com/output/1208683 |
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Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
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