OBPP: An ontology-based framework for privacy-preserving in IoT-based smart city

IoT devices generate data over time, which is going to be shared with other parties to provide high-level services. Smart City is one of its applications which aims to manage cities automatically. Because of the large number of devices, three critical challenges come up: heterogeneity, privacy-prese...

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Vydáno v:	Future generation computer systems Ročník 123; s. 1 - 13
Hlavní autoři:	Gheisari, Mehdi, Najafabadi, Hamid Esmaeili, Alzubi, Jafar A., Gao, Jiechao, Wang, Guojun, Abbasi, Aaqif Afzaal, Castiglione, Aniello
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.10.2021
Témata:	Heterogeneity Internet of Things (IoT) Ontology Penetration rate Privacy-preserving Smart city Penetration rate Heterogeneity Privacy-preserving Internet of Things (IoT) Ontology Smart city
ISSN:	0167-739X, 1872-7115
On-line přístup:	Získat plný text
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