Trustworthy Digital Twins in the Industrial Internet of Things With Blockchain

Industrial processes rely on sensory data for critical decision-making processes. Extracting actionable insights from the collected data calls for an infrastructure that can ensure the trustworthiness of data. To this end, we envision a blockchain-based framework for the Industrial Internet of Thing...

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Bibliographic Details
Published in:IEEE internet computing Vol. 26; no. 3; pp. 58 - 67
Main Authors: Suhail, Sabah, Hussain, Rasheed, Jurdak, Raja, Hong, Choong Seon
Format: Journal Article
Language:English
Published: IEEE 01.05.2022
Subjects:
Blockchain
Data models
Data security and trust
Digital twins
Digital Twins (DTs)
Distributed databases
Industrial Internet of Things
Industrial Internet of Things (IIoT)
Industries
Monitoring
Sensors
ISSN:1089-7801, 1941-0131
Online Access:Get full text
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Summary:Industrial processes rely on sensory data for critical decision-making processes. Extracting actionable insights from the collected data calls for an infrastructure that can ensure the trustworthiness of data. To this end, we envision a blockchain-based framework for the Industrial Internet of Things (IIoT) to address the issues of data management and security. Once the data collected from trustworthy sources are recorded in the blockchain, product lifecycle events can be fed into data-driven systems for process monitoring, diagnostics, and optimized control. In this regard, we leverage digital twins (DTs) that can draw intelligent conclusions from the data by identifying the faults and recommending precautionary measures ahead of critical events. Furthermore, we discuss the integration of DTs and blockchain to target key challenges of disparate data repositories, untrustworthy data dissemination, and fault diagnosis. Finally, we identify outstanding challenges faced by the IIoT and future research directions while leveraging blockchain and DTs.
ISSN:1089-7801
1941-0131
DOI:10.1109/MIC.2021.3059320