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A Clustering Reputation-Based Framework in Edge-Based IoT Environments

Contributo in Atti di convegno
Data di Pubblicazione:
2022
Citazione:
A Clustering Reputation-Based Framework in Edge-Based IoT Environments / Fortino, G.; Fotia, L.; Messina, F.; Rosaci, D.; Sarne, G. M. L.. - 1026:(2022), pp. 447-455. ( 14th International Symposium on Intelligent Distributed Computing, IDC 20212021) [10.1007/978-3-030-96627-0_41].
Abstract:
In this work we introduce a clustering reputation-based approach for edge-based IoT (Internet of Things) environments where it’s possible to process and save data on edge servers. In particular, once in an edge domain two Smart IoT Objects (SOs) exchanged a service, supported by their associated agents, they will release a feedback about their respective counterparts to the edge server managing their current domain to update the counterparts’ reputation score. However, even though in the proposed systems the reputation is managed and hosted in the Edge, the SOs’ reputation scores are also periodically saved on the Cloud. In this way, when a SO moves itself from an edge domain to another edge domain its reputation score will be available on the Cloud. Moreover, each edge server provides to cluster its managed SOs on the basis of their reputation scores to strengthen the competitiveness of SOs into the domain. This paper describes the proposed distributed clustering reputation-based framework for heterogeneous SOs and its performance in a simulated scenario.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
Fortino, G.; Fotia, L.; Messina, F.; Rosaci, D.; Sarne, G. M. L.
Autori di Ateneo:
ROSACI Domenico
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/133568
Titolo del libro:
Studies in Computational Intelligence
Pubblicato in:
STUDIES IN COMPUTATIONAL INTELLIGENCE
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