Evaluating Trustworthiness of Edge-Based Multi-Tenanted IoT Devices
Internet of Things (IoT) systems are expected to be deployed as solutions to problems in a wide variety of contexts, from building management, to smart city monitoring and to provide support to emergency services. However, many IoT devices are resource constrained and lack the capability or information to compute results for tasks that the IoT devices may be requested to perform. Instead these tasks will need to be offloaded to a server at the Edge of the network for a quick response. As these networks will have multiple organisations providing multiple IoT nodes and Edge nodes with different capabilities, the IoT devices need to know which Edge server they trust to return a timely response to a task. As these networks will support critical services, they also need to be resilient to attack.
Thus far the project has delivered a prototype middleware to support trust-based task offloading in a system comprised of resource-constrained devices. The performance of this middleware was investigated and published at the ACM Symposium of Applied Computing. We have also investigated performing a proactive trust assessment which has been published at IEEE INFOCOM.
Information
Role: Research Co-Investigator
Funder: The PETRAS National Centre of Excellence for IoT Systems Cybersecurity [EPSRC Grant EP/S035362/1]
Duration: March 2020 – March 2021
People:
- Dr. Arshad Jhumka (PI)
- Prof. Tim Watson (CoI)
Links:
Publications
2022
- Matthew Bradbury, Arshad Jhumka, and Tim Watson. Information Management for Trust Computation on Resource-constrained IoT Devices. Future Generation Computer Systems, 135:348–363, 2022. doi:10.1016/j.future.2022.05.004.
[ bibtex] [ file] [ dataset] [ more details] - Matthew Bradbury, Arshad Jhumka, Tim Watson, Denys Flores, Jonathan Burton, and Matthew Butler. Threat-Modeling-Guided Trust-Based Task Offloading for Resource-Constrained Internet of Things. ACM Transactions on Sensor Networks, 18(2):41, 2022. doi:10.1145/3510424.
[ bibtex] [ file] [ presentation] [ dataset] [ more details]
2021
- Matthew Bradbury, Arshad Jhumka, and Tim Watson. Trust Trackers for Computation Offloading in Edge-Based IoT Networks. In IEEE INFOCOM, 1–10. Vancouver, BC, Canada, 10–13 May 2021. IEEE. doi:10.1109/INFOCOM42981.2021.9488844.
[ bibtex] [ file] [ presentation] [ dataset] [ more details] - Matthew Bradbury, Arshad Jhumka, and Tim Watson. Trust Assessment in 32 KiB of RAM: Multi-application Trust-based Task Offloading for Resource-constrained IoT Nodes. In The 36th ACM/SIGAPP Symposium on Applied Computing, SAC’21, 1–10. Virtual Event, Republic of Korea, 22–26 March 2021. ACM. doi:10.1145/3412841.3441898.
[ bibtex] [ file] [ presentation] [ dataset] [ more details]
Talks
- Threat Modelling Guided Trust-based Task Offloading for Resource-constrained Internet of Things at ACM Conference on Embedded Networked Sensor Systems (SenSys), Boston, USA on 08 November 2022
- Automating Threat Modelling at Lancashire Cyber Crime Conference, Blackburn, UK on 21 April 2022
- Trust Trackers for Computation Offloading in Edge Based IoT Networks at IEEE INFOCOM, Virtual Event on 11 May 2021
- Trust Assessment in 32 KiB of RAM: Multi-application Trust-based Task Offloading for Resource-constrained IoT Nodes at ACM Symposium of Applied Computing, Virtual Event, South Korea on 22 March 2021