CRNIMay 14, 2020

A Secure Fog Based Architecture for Industrial Internet of Things and Industry 4.0

arXiv:2005.07147v157 citations
AI Analysis

This work addresses security and processing bottlenecks for manufacturing industries adopting Industry 4.0, though it appears incremental by integrating existing security features into a Fog-based setup.

The paper tackles the challenge of processing and securing delay-sensitive data in Industrial IoT by proposing a secure Fog-based architecture that offloads tasks to fog nodes, reducing computational burden on devices and cloud trust issues, validated through theoretical analysis and practical experiments.

The advent of Industrial IoT (IIoT) along with Cloud computing has brought a huge paradigm shift in manufacturing industries resulting in yet another industrial revolution, Industry 4.0. Huge amounts of delay-sensitive data of diverse nature are being generated which needs to be locally processed and secured due to its sensitivity. But, the low-end IoT devices are unable to handle huge computational overheads. Also, the semi-trusted nature of Cloud introduces several security concerns. To address these issues, this work proposes a secure Fog-based IIoT architecture by suitably plugging a number of security features into it and by offloading some of the tasks judiciously to fog nodes. These features secure the system alongside reducing the trust and burden on the cloud and resource-constrained devices respectively. We validate our proposed architecture through both theoretical overhead analysis and practical experimentation including simulation study and testbed implementation.

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