A model for trustworthy orchestration in the internet of things
Conference paper
Bottone, M., Primiero, G., Raimondi, F. and De Florio, V. 2016. A model for trustworthy orchestration in the internet of things. 2016 12th International Conference on Intelligent Environments (IE). London, United Kingdom 14 - 16 Sep 2016 IEEE. pp. 171-174 https://doi.org/10.1109/IE.2016.37
Type | Conference paper |
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Title | A model for trustworthy orchestration in the internet of things |
Authors | Bottone, M., Primiero, G., Raimondi, F. and De Florio, V. |
Abstract | Embedded systems such as Cyber-Physical Systems (CPS) are typically designed as a network of multiple interacting elements with physical input (or sensors) and output (or actuators). One aspect of interest of open systems is fidelity, or the compliance between physical figures of interest and their internal representation. High fidelity is defined as a stable mapping between actions in the physical domain and intended or expected values in the system domain and deviations from fidelity are quantifiable over time by some appropriate informative variable. In this paper, we provide a model for designing such systems based on a framework for trustworthiness monitoring and we provide a Jason implementation to evaluate the feasibility of our approach. In particular, we build a bridge between a standard publish/subscribe framework for CPS called MQTT and Jason to enable automatic reasoning about trustworthiness |
Research Group | Foundations of Computing group |
Conference | 2016 12th International Conference on Intelligent Environments (IE) |
Page range | 171-174 |
Proceedings Title | 2016 12th International Conference on Intelligent Environments (IE) |
Series | International Conference on Intelligent Environments |
ISSN | 2472-7571 |
ISBN | |
Hardcover | 9781509040568 |
Publisher | IEEE |
Publication dates | |
27 Oct 2016 | |
Publication process dates | |
Deposited | 02 Nov 2016 |
Accepted | 16 May 2016 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works |
Digital Object Identifier (DOI) | https://doi.org/10.1109/IE.2016.37 |
Web of Science identifier | WOS:000389831700028 |
Language | English |
https://repository.mdx.ac.uk/item/86v37
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