A Blockchain-Based Distributed Paradigm to Secure Localization Services.

Internet of Entities Internet of Things blockchain distributed ledger localization mobile network

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
13 Oct 2021
Historique:
received: 09 08 2021
revised: 28 09 2021
accepted: 06 10 2021
entrez: 26 10 2021
pubmed: 27 10 2021
medline: 28 10 2021
Statut: epublish

Résumé

In recent decades, modern societies are experiencing an increasing adoption of interconnected smart devices. This revolution involves not only canonical devices such as smartphones and tablets, but also simple objects like light bulbs. Named the Internet of Things (IoT), this ever-growing scenario offers enormous opportunities in many areas of modern society, especially if joined by other emerging technologies such as, for example, the blockchain. Indeed, the latter allows users to certify transactions publicly, without relying on central authorities or intermediaries. This work aims to exploit the scenario above by proposing a novel blockchain-based distributed paradigm to secure localization services, here named the Internet of Entities (IoE). It represents a mechanism for the reliable localization of people and things, and it exploits the increasing number of existing wireless devices and blockchain-based distributed ledger technologies. Moreover, unlike most of the canonical localization approaches, it is strongly oriented towards the protection of the users' privacy. Finally, its implementation requires minimal efforts since it employs the existing infrastructures and devices, thus giving life to a new and wide data environment, exploitable in many domains, such as e-health, smart cities, and smart mobility.

Identifiants

pubmed: 34696027
pii: s21206814
doi: 10.3390/s21206814
pmc: PMC8541254
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2016 Nov 23;16(11):
pubmed: 27886087
J Am Med Inform Assoc. 2017 Nov 1;24(6):1211-1220
pubmed: 29016974

Auteurs

Roberto Saia (R)

Department of Mathematics and Computer Science, University of Cagliari, Palazzo delle Scienze, Via Ospedale 72, 09124 Cagliari, Italy.

Alessandro Sebastian Podda (AS)

Department of Mathematics and Computer Science, University of Cagliari, Palazzo delle Scienze, Via Ospedale 72, 09124 Cagliari, Italy.

Livio Pompianu (L)

Department of Mathematics and Computer Science, University of Cagliari, Palazzo delle Scienze, Via Ospedale 72, 09124 Cagliari, Italy.

Diego Reforgiato Recupero (D)

Department of Mathematics and Computer Science, University of Cagliari, Palazzo delle Scienze, Via Ospedale 72, 09124 Cagliari, Italy.

Gianni Fenu (G)

Department of Mathematics and Computer Science, University of Cagliari, Palazzo delle Scienze, Via Ospedale 72, 09124 Cagliari, Italy.

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Classifications MeSH