TY - JOUR
T1 - Trust Management in Industrial Internet of Things
AU - Boudagdigue, Chaimaa
AU - Benslimane, Abderrahim
AU - Kobbane, Abdellatif
AU - Liu, Jiajia
N1 - Publisher Copyright:
© 2005-2012 IEEE.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - automotive factories
KW - industrial IoT networks
KW - Internet of Things
KW - security
KW - trust management
UR - http://www.scopus.com/inward/record.url?scp=85089186851&partnerID=8YFLogxK
U2 - 10.1109/TIFS.2020.2997179
DO - 10.1109/TIFS.2020.2997179
M3 - 文章
AN - SCOPUS:85089186851
SN - 1556-6013
VL - 15
SP - 3667
EP - 3682
JO - IEEE Transactions on Information Forensics and Security
JF - IEEE Transactions on Information Forensics and Security
M1 - 9099265
ER -