IdSM-O: an IoT Data Sharing Management Ontology for Data Governance - Université de Pau et des Pays de l'Adour Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

IdSM-O: an IoT Data Sharing Management Ontology for Data Governance

Résumé

The main purpose of IoT is to deliver reliable, high quality services and innovative solutions by transforming the captured data into meaningful information, and thus improving user's daily life. In this regard, it is in the interest of the community to encourage entities within IoT environments to share their data, and therefore serve public interest and contribute to the innovation and technological progress. Meanwhile, the distributed nature of IoT networks and the diversity of its actors lead to the recognition of security and data sharing management as one of the major challenges of the IoT domain. For instance, due to insufficient governance of the shared data within IoT environments, data provider retains little to no control over his assets once he has agreed to share them. Furthermore, data consumers are not able to trace the source of the available resource nor its history processing to assess its quality. All this creates a digital environment that is certainly functional but lacks mutual trust between its actors, which can prevent the domain's full potential to be exploited, and therefore disrupt the implemented services. In our work, we propose an approach to improve data sharing management using three main elements: semantic modeling, usage control policies, and data provenance.
Fichier principal
Vignette du fichier
paper_406.pdf (688.84 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04206735 , version 1 (14-09-2023)

Identifiants

Citer

Nouha Laamech, Manuel Munier, Congduc Pham. IdSM-O: an IoT Data Sharing Management Ontology for Data Governance. MEDES '22: International Conference on Management of Digital EcoSystems, Oct 2022, Venice, Italy. pp.88-95, ⟨10.1145/3508397.3564825⟩. ⟨hal-04206735⟩

Collections

UNIV-PAU LIUPPA
28 Consultations
18 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More