Enabling trust and security in digital twin management: a blockchain-based approach with ethereum and IPFS

Austine Onwubiko, Raman Singh, Shahid Mahmood Awan, Zeeshan Pervez*, Naeem Ramzan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
31 Downloads (Pure)

Abstract

The emergence of Industry 5.0 has highlighted the significance of information usage, processing, and data analysis when maintaining physical assets. This has enabled the creation of the Digital Twin (DT). Information about an asset is generated and consumed during its entire life cycle. The main goal of DT is to connect and represent physical assets as close to reality as possible virtually. Unfortunately, the lack of security and trust among DT participants remains a problem as a result of data sharing. This issue cannot be resolved with a central authority when dealing with large organisations. Blockchain technology has been proposed as a solution for DT information sharing and security challenges. This paper proposes a Blockchain-based solution for digital twin using Ethereum blockchain with performance and cost analysis. This solution employs a smart contract for information management and access control for stakeholders of the digital twin, which is secure and tamper-proof. This implementation is based on Ethereum and IPFS. We use IPFS storage servers to store stakeholders’ details and manage information. A real-world use-case of a production line of a smartphone, where a conveyor belt is used to carry different parts, is presented to demonstrate the proposed system. The performance evaluation of our proposed system shows that it is secure and achieves performance improvement when compared with other methods. The comparison of results with state-of-the-art methods showed that the proposed system consumed fewer resources in a transaction cost, with an 8% decrease. The execution cost increased by 10%, but the cost of ether was 93% less than the existing methods.
Original languageEnglish
Article number6641
Number of pages26
JournalSensors
Volume23
Issue number14
DOIs
Publication statusPublished - 24 Jul 2023

Keywords

  • digital twin
  • blockchain
  • Industry 5.0
  • Ethereum
  • IPFS

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