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Industrial Internet-of-Things (IIoT) is a powerful IoT application whichremodels the growth of industries by ensuring transparent communication amongvarious entities such as hubs, manufacturing places and packaging units.Introducing data science techniques within the IIoT improves the ability toanalyze the collected data in a more efficient manner, which current IIoTarchitectures lack due to their distributed nature. From a securityperspective, network anomalies/attackers pose high security risk in IIoT. Inthis paper, we have addressed this problem, where a coordinator IoT device iselected to compute the trust of IoT devices to prevent the malicious devices tobe part of network. Further, the transparency of the data is ensured byintegrating a blockchain-based data model. The performance of the proposedframework is validated extensively and rigorously via MATLAB against varioussecurity metrics such as attack strength, message alteration, and probabilityof false authentication. The simulation results suggest that the proposedsolution increases IIoT network security by efficiently detecting maliciousattacks in the network.

A Secure and Trusted Mechanism for Industrial IoT Network using Blockchain