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Lee, GM and Jayasinghe, U (2019) AI and Blockchain enabled Edge of Things with Privacy Preserving Computation. In: Conference Proceedings of The XIII International scientific conference Perspective technologies in the information transfer means . pp. 39-43. (The XIII International scientific conference Perspective technologies in the information transfer means, 03 July 2019 - 05 July 2019, Vladimir-Suzdal, Russia).
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Abstract
Recent research has brought cloud, edge, and Internet of Things (IoT) technologies together to develop integrated platforms for utilizing resource-rich clouds to support resource-constrained IoT applications. However, their success is limited, in particular, they are lack of efficient intelligence for data processing and service operations as well as dynamic and trustworthy service composition across multi-layers from IoT devices to clouds, which are important for IoT applications. This paper will thus propose an innovative platform for composing smart and trustworthy edges (ROOF (Real-time Onsite Operations Facilitation) plus Fog) of things to support applications ranging from ultra-low delay and lightweight to complex services. To achieve this goal, the research employs the microservice concept to decompose applications into lightweight services located from the edge of things to cloud data centers. Further, inspired by the artificial intelligence and blockchain technologies, this work proposes a novel approach for composing microservices that will provide prosumer-driven, decentralized and autonomous service composition while preserving the privacy of the participating stakeholders.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Blockchain; Edge Computing; Internet of Things; Microservice; Privacy; Trust |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Civil Engineering (merged with Built Env 10 Aug 20) |
| Date Deposited: | 06 Sep 2019 10:41 |
| Last Modified: | 13 Apr 2022 15:17 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/10813 |
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