Trust Management in Industrial Internet of Things

TitreTrust Management in Industrial Internet of Things
Publication TypeJournal Article
Year of Publication2020
AuthorsBoudagdigue, C, Benslimane, A, Kobbane, A, Liu, J
JournalIEEE Transactions on Information Forensics and Security
Volume15
Pagination3667-3682
Mots-clésAutomobile manufacture, Automobile manufacturers, Automotive industry, Centralized architecture, Dynamic trust managements, Industrial environments, Industrial internet of things (IIoT), Industrial relationship, Internet of Things (IOT), Network architecture, Proposed architectures, Traditional architecture, Trusted computing
Abstract

Automobile manufacturers around the world are increasingly deploying Industrial Internet of Things (IIoT) devices in their factories to accompany the Industrial Revolution 4.0. Security and privacy are the main limitations to the integration of Internet of Things (IoT) into industrial processes. Therefore, it is necessary to protect industrial data contained in IIoT devices and keep them confidential. As a step towards this direction, in this paper, we propose a dynamic trust management model suitable for industrial environments. We propose also to change the traditional centralized architecture of IIoT networks in automotive plants into a hybrid architecture based on a set of new industrial relationship rules. The performance evaluation in this work is done in two parts. In the first part, we compare our proposed architecture with the traditional architecture of the plant's IIoT network. The results of this comparison show that our architecture is more suitable to simplify trust management of IIoT devices. In the second part, we demonstrated the ability, the adaptiveness and the resiliency of our proposed trust model against behavioral changes of IIoT nodes in malicious environments. © 2005-2012 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85089186851&doi=10.1109%2fTIFS.2020.2997179&partnerID=40&md5=105acbd7042007978b04935eb0240170
DOI10.1109/TIFS.2020.2997179
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