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Smart city article details

Title	Distributed Ledgers For Enhanced Machine-To-Machine Trust In Smart Cities
ID_Doc	20660
Authors	Hickert C.; Tekeoglu A.; Maurio J.; Watson R.; Syed D.; Chavis J.; Brown G.; Sookoor T.
Year	2022
Published	Proceedings - International Conference on Computer Communications and Networks, ICCCN, 2022-July
DOI	http://dx.doi.org/10.1109/ICCCN54977.2022.9868905
Abstract	Incorporating smart technology into critical infrastructure (CI) and smart cities promises substantial efficiency improvements as networks of machines communicate and make rapid decisions autonomously. Yet the promise of greater efficiency that such cyber-physical systems (CPS) bring is tempered by increased fragility unless machine-to-machine (M2M) trust is enhanced, particularly in Internet of Things (IoT) networks. This work makes two contributions toward improving M2M trust. First, it proposes a multifaceted trust framework comprised of identity verification, experience, context, and recommendation scores to enable high-integrity M2M interactions. Second, this trust framework is implemented via an IoT-friendly distributed ledger on a physical testbed, where it is shown to identify and mitigate errors due to a compromised system component. This implementation mirrors real-world IoT systems in which resource-constrained endpoint devices pose trust score computation challenges and the number of devices raises scalability obstacles for information sharing among nodes.
Author Keywords	Distributed Ledger; Internet of Things (IoT); Machine-to-Machine (M2M) Trust; Smart City

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