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Threat modelling guided trust-based task offloading for resource-constrained Internet of Things

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Bradbury, Matthew S., Jhumka, Arshad, Watson, Tim, Flores, Denys, Burton, Jonathan and Butler, Matthew (2022) Threat modelling guided trust-based task offloading for resource-constrained Internet of Things. Transactions on Sensor Networks, 18 (2). 29. doi:10.1145/3510424

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Official URL: https://doi.org/10.1145/3510424

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Abstract

There is an increasing demand for Internet of Things (IoT) networks consisting of resource-constrained devices executing increasingly complex applications. Due to these resource-constraints, IoT devices will not be able to execute expensive tasks. One solution is to offload expensive tasks to resource-rich edge nodes. Which requires a framework that facilitates the selection of suitable edge nodes to perform task offloading. Therefore, in this paper, we present a novel trust model-driven system architecture, based on behavioural evidence, that is suitable for resource-constrained IoT devices that supports computation offloading. We demonstrate the viability of the proposed architecture with an example deployment of the Beta Reputation System trust model on real hardware to capture node behaviours. The open environment of edge-based IoT networks means that threats against edge nodes can lead to deviation from expected behaviour. Hence, we perform a threat modelling to identify such threats. The proposed system architecture includes threat handling mechanisms that provide security properties such as confidentiality, authentication and non-repudiation of messages in required scenarios and operate within the resource constraints.We evaluate the efficacy of the threat handling mechanisms and identify future work for the standards used.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Internet of things, Computer security, Computer networks -- Security measures, Internet -- Security measures, Data protection, Systems software, Sensor networks, Edge computing
Journal or Publication Title: Transactions on Sensor Networks
Publisher: Association of Computing Machinery (ACM)
ISSN: 1550-4859
Official Date: May 2022
Dates:
DateEvent
May 2022Published
4 February 2022Available
4 January 2022Accepted
Volume: 18
Number: 2
Article Number: 29
DOI: 10.1145/3510424
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/S035362/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
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