A Secure and Trusted Mechanism for Industrial IoT Network using Blockchain

Geetanjali Rathee, Farhan Ahmad, Naveen Jaglan, Charalambos Konstantinou

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)
102 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)1894-1902
Number of pages9
JournalIEEE Transactions on Industrial Informatics
Issue number2
Early online date13 Jun 2022
Publication statusPublished - 1 Feb 2023

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  • Blockchain
  • Industrial Internet-of-Things (IIoT)
  • secure IoT devices
  • security
  • trust management

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering


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