Research Area:  Internet of Things
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 plants 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.
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Author(s) Name:  Chaimaa Boudagdigue; Abderrahim Benslimane; Abdellatif Kobbane; Jiajia Liu
Journal name:   IEEE Transactions on Information Forensics and Security
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Publisher name:  IEEE
DOI:  10.1109/TIFS.2020.2997179
Volume Information:  Volume: 15, Page(s): 3667 - 3682
Paper Link:   https://ieeexplore.ieee.org/abstract/document/9099265