Abdur Rahman, Md., Shamim Hossain, M., Loukas, George ORCID: 0000-0003-3559-5182, Hassanain, Elham, Rahman, Syed Sadiqur, Alhamid, Mohammed F. and Guizani, Mohsen (2018) Blockchain-based mobile edge computing framework for secure therapy applications. IEEE Access, 6. pp. 72469-72478. ISSN 2169-3536 (Online) (doi:https://doi.org/10.1109/ACCESS.2018.2881246)

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Abstract

Mobile edge computing (MEC) is being introduced and leveraged in many domains, but few studies have addressed MEC for secure in-home therapy management. To this end, this paper presents an in-home therapy management framework, which leverages the IoT nodes and the blockchain-based decentralized MEC paradigm to support low-latency, secure, anonymous, and always-available spatiotemporal multimedia therapeutic data communication within an on-demand data-sharing scenario. To the best of our knowledge, this non-invasive, MEC-based IoT therapy platform is first done by our group. This platform can provide a full-body joint range of motion data for physically challenged individuals in a decentralized manner. With MEC, the framework can provide therapy diagnostic and analytical data on demand to a large portion of humanity who are either born with disabilities or became disabled due to accidents, war-time injuries, or old age. For security, the framework uses blockchain–Tor-based distributed transactions to preserve the therapeutic data privacy, ownership, generation, storage, and sharing. Our initial test results from a complete implementation of the framework show that it can support a sufficiently large number of users without considerable increase in mean processing time.

Item Type:	Article
Uncontrolled Keywords:	Blockchain, Mobile Edge Computing, Secure therapy, Internet of Things, Cyber Security
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > Internet of Things and Security Research Centre (ISEC) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/22376

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