Blockchain-Based Mobile Edge Computing Framework for Secure Therapy Applications
| Autor: | Mohsen Guizani, M. Shamim Hossain, Elham Hassanain, Md. Abdur Rahman, Mohammed F. Alhamid, Syed Sadiqur Rahman, George Loukas |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
QA75
IoT Information privacy General Computer Science Computer science Cloud computing 02 engineering and technology Computer security computer.software_genre Blockchain 0202 electrical engineering electronic engineering information engineering Distributed transaction General Materials Science therapy Mobile edge computing business.industry General Engineering 020206 networking & telecommunications Task analysis 020201 artificial intelligence & image processing mobile edge computing lcsh:Electrical engineering. Electronics. Nuclear engineering Internet of Things business lcsh:TK1-9971 computer |
| Zdroj: | IEEE Access IEEE Access, Vol 6, Pp 72469-72478 (2018) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2018.2881246 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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