@conference {Boudagdigue2020,
	title = {Cluster-based certificate revocation in industrial IOT networks using Signaling game},
	booktitle = {2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings},
	year = {2020},
	note = {cited By 1},
	abstract = {Industrial IoT network (IIoT) is the result of integrating Internet of Things into the industrial processes to make manufacturers more efficient and reactive. This integration brings with it new security and privacy challenges because of the sensitive information exchanged between devices and the infrastructure. In order to prevent malicious nodes from abusing the IIoT system, this paper investigates a new distributed certificate revocation protocol. Hence, we propose cluster-based certificate revocation mechanism for IIoT network by using game theory. Indeed, our proposed signaling game allows to make a decision on a targeted node after evaluating its behaving. In this approach, we assume an IIoT network organized as a set of clusters called communities. Each community consists of a set of member nodes and a community leader who uses a multi-stage game to renew the certificate of well behaving member nodes and revoke the certificate of malicious member nodes. Based on the Perfect Bayesian Equilibrium, we describe a reactive algorithm implementing the certificates update mechanism. By simulations, we evaluate the convergence speed, the dynamic and the accuracy of the leader{\textquoteright}s posterior belief on nodes with different behaviors. {\textcopyright} 2020 IEEE.},
	keywords = {Certificate revocation, Game theory, Industrial internet of things (IIoT), Industrial processs, Multi stage games, Perfect bayesian equilibriums, Privacy by design, Reactive algorithms, Security and privacy, Sensitive informations, Update mechanisms},
	doi = {10.1109/GLOBECOM42002.2020.9322497},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100398930\&doi=10.1109\%2fGLOBECOM42002.2020.9322497\&partnerID=40\&md5=8d905a0b2029ae303a74268527163a44},
	author = {Boudagdigue, C. and Benslimane, A. and Kobbane, A.}
}
@article {Boudagdigue20203667,
	title = {Trust Management in Industrial Internet of Things},
	journal = {IEEE Transactions on Information Forensics and Security},
	volume = {15},
	year = {2020},
	note = {cited By 17},
	pages = {3667-3682},
	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{\textquoteright}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. {\textcopyright} 2005-2012 IEEE.},
	keywords = {Automobile 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},
	doi = {10.1109/TIFS.2020.2997179},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089186851\&doi=10.1109\%2fTIFS.2020.2997179\&partnerID=40\&md5=105acbd7042007978b04935eb0240170},
	author = {Boudagdigue, C. and Benslimane, A. and Kobbane, A. and Liu, J.}
}
@conference {Boudagdigue2018,
	title = {A Distributed Advanced Analytical Trust Model for IoT},
	booktitle = {IEEE International Conference on Communications},
	volume = {2018-May},
	year = {2018},
	doi = {10.1109/ICC.2018.8422726},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051430306\&doi=10.1109\%2fICC.2018.8422726\&partnerID=40\&md5=8907401b5d112341154ed5ed64157168},
	author = {Boudagdigue, C. and Benslimane, A. and Kobbane, A. and Elmachkour, M.}
}
