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Title: A Secure and Trusted Mechanism for Industrial IoT Network using Blockchain
Authors: Rathee, Geetanjali
Ahmad, Ahmad
Jaglan, Naveen
Konstantinou, Charalambos
Keywords: Industrial Internet-of-Things
Secure IoT devices
Trust management
Issue Date: 2022
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: Industrial Internet-of-Things (IIoT) is a powerful IoT application which remodels the growth of industries by ensuring transparent communication among various entities such as hubs, manufacturing places and packaging units. Introducing data science techniques within the IIoT improves the ability to analyze the collected data in a more efficient manner, which current IIoT architectures lack due to their distributed nature. From a security perspective, network anomalies/attackers pose high security risk in IIoT. In this paper, we have addressed this problem, where a coordinator IoT device is elected to compute the trust of IoT devices to prevent the malicious devices to be part of network. Further, the transparency of the data is ensured by integrating a blockchain-based data model. The performance of the proposed framework is validated extensively and rigorously via MATLAB against various security metrics such as attack strength, message alteration, and probability of false authentication. The simulation results suggest that the proposed solution increases IIoT network security by efficiently detecting malicious attacks in the network.
Appears in Collections:Journal Articles

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