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Trust trackers for computation offloading in edge-based IoT networks
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Bradbury, Matthew S., Jhumka, Arshad and Watson, Tim (2021) Trust trackers for computation offloading in edge-based IoT networks. In: INFOCOM, Virtual, 10-13 May 2021. Published in: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications ISSN 0743-166X. doi:10.1109/INFOCOM42981.2021.9488844
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WRAP-trust-trackers-computation-offloading-edge-based-IoT-networks-Bradbury-2020.pdf - Accepted Version - Requires a PDF viewer. Download (1117Kb) | Preview |
Official URL: https://doi.org/10.1109/INFOCOM42981.2021.9488844
Abstract
Wireless Internet of Things (IoT) devices will be deployed to enable applications such as sensing and actuation. These devices are typically resource-constrained and are unable to perform resource-intensive computations. Therefore, these jobs need to be offloaded to resource-rich nodes at the edge of the IoT network for execution. However, the timeliness and correctness of edge nodes may not be trusted (such as during high network load or attack). In this paper, we look at the applicability of trust for successful offloading. Traditionally, trust is computed at the application level, with suitable mechanisms to adjust for factors such as recency. However, these do not work well in IoT networks due to resource constraints. We propose a novel device called Trust Tracker (denoted by Σ) that provides higher-level applications with up-to-date trust information of the resource-rich nodes. We prove impossibility results regarding computation offloading and show that Σ is necessary and sufficient for correct offloading. We show that, Σ cannot be implemented even in a synchronous network and we compute the probability of offloading to a bad node, which we show to be negligible when a majority of nodes are correct. We perform a small-scale deployment to demonstrate our approach.
| Item Type: | Conference Item (Paper) | ||||||
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| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Internet of things , Machine-to-machine communications, Edge computing | ||||||
| Journal or Publication Title: | IEEE INFOCOM 2021 - IEEE Conference on Computer Communications | ||||||
| Publisher: | IEEE | ||||||
| ISSN: | 0743-166X | ||||||
| Official Date: | 26 July 2021 | ||||||
| Dates: |
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| DOI: | 10.1109/INFOCOM42981.2021.9488844 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Publisher Statement: | © 2020 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. | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | ||||||
| Title of Event: | INFOCOM | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Virtual | ||||||
| Date(s) of Event: | 10-13 May 2021 | ||||||
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