The industrial Internet of Things (IIoT) is currently foreseen as a foundation to implement the Industry 4.0 vision. However, device heterogeneity and the need of integration and configuration exposes the industrial infrastructure to potential threats, such as black-hole, man-in-the-middle, and malicious configuration attacks. In this article, we investigate how to manage distributed trust information and to enable trusted configuration actions in the IIoT, by opportunistically intermingling blockchain with the software defined networking and container orchestration technologies. In particular, we focus on how the joint and coordinated adoption of such technologies can make technicians’ interventions on industrial equipment both easier and more trusted. To this purpose, we present the design of a software architecture to simplify the management, configuration, and assessment of IIoT systems, and we discuss our experiences with the application of the proposed architecture in a railways use case.
FUSION - Fog Computing and Blockchain for Trusted Industrial Internet of Things / Ceccarelli, Andrea; Cinque, Marcello; Esposito, Christian; Foschini, Luca; Giannelli, Carlo; Lollini, Paolo. - In: IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT. - ISSN 0018-9391. - ELETTRONICO. - 69:(2022), pp. 2944-2958. [10.1109/TEM.2020.3024105]
FUSION - Fog Computing and Blockchain for Trusted Industrial Internet of Things
Ceccarelli, Andrea;Lollini, Paolo
2022
Abstract
The industrial Internet of Things (IIoT) is currently foreseen as a foundation to implement the Industry 4.0 vision. However, device heterogeneity and the need of integration and configuration exposes the industrial infrastructure to potential threats, such as black-hole, man-in-the-middle, and malicious configuration attacks. In this article, we investigate how to manage distributed trust information and to enable trusted configuration actions in the IIoT, by opportunistically intermingling blockchain with the software defined networking and container orchestration technologies. In particular, we focus on how the joint and coordinated adoption of such technologies can make technicians’ interventions on industrial equipment both easier and more trusted. To this purpose, we present the design of a software architecture to simplify the management, configuration, and assessment of IIoT systems, and we discuss our experiences with the application of the proposed architecture in a railways use case.File | Dimensione | Formato | |
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TEM-20-0126.R2_Proof_hi.pdf
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