survey

Blockchain-Based Digital Twins: Research Trends, Issues, and Future Challenges

Authors:

Rasheed Hussain,

Choong Seon Hong,

Raimundas MatulevičiusAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 54, Issue 11s

Article No.: 240, Pages 1 - 34

https://doi.org/10.1145/3517189

Published: 09 September 2022 Publication History

Abstract

Industrial processes rely on sensory data for decision-making processes, risk assessment, and performance evaluation. Extracting actionable insights from the collected data calls for an infrastructure that can ensure the dissemination of trustworthy data. For the physical data to be trustworthy, it needs to be cross validated through multiple sensor sources with overlapping fields of view. Cross-validated data can then be stored on the blockchain, to maintain its integrity and trustworthiness. Once trustworthy data is recorded on the blockchain, product lifecycle events can be fed into data-driven systems for process monitoring, diagnostics, and optimized control. In this regard, digital twins (DTs) can be leveraged to draw intelligent conclusions from data by identifying the faults and recommending precautionary measures ahead of critical events. Empowering DTs with blockchain in industrial use cases targets key challenges of disparate data repositories, untrustworthy data dissemination, and the need for predictive maintenance. In this survey, while highlighting the key benefits of using blockchain-based DTs, we present a comprehensive review of the state-of-the-art research results for blockchain-based DTs. Based on the current research trends, we discuss a trustworthy blockchain-based DTs framework. We also highlight the role of artificial intelligence in blockchain-based DTs. Furthermore, we discuss the current and future research and deployment challenges of blockchain-supported DTs that require further investigation.

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Index Terms

Blockchain-Based Digital Twins: Research Trends, Issues, and Future Challenges
1. General and reference
  1. Document types
    1. Surveys and overviews
2. Security and privacy
  1. Systems security
    1. Distributed systems security

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 54, Issue 11s

January 2022

785 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3551650

Editor:
Albert Zomaya
University of Sydney, Australia

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Publication History

Published: 09 September 2022

Online AM: 18 February 2022

Accepted: 01 February 2022

Revised: 01 November 2021

Received: 01 March 2021

Published in CSUR Volume 54, Issue 11s

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Somma ADe Benedictis AEsposito CMazzocca N(2024)The convergence of Digital Twins and Distributed Ledger TechnologiesJournal of Network and Computer Applications10.1016/j.jnca.2024.103857225:COnline publication date: 1-May-2024
https://dl.acm.org/doi/10.1016/j.jnca.2024.103857
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