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Integrating Digital Twins with IoT-Based Blockchain: Concept, Architecture, Challenges, and Future Scope.
Ezz El-Din Hemdan1, Walid El-Shafai2,3, Amged Sayed4,5
1Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952 Egypt.
This study surveys the integration of digital twins with the Internet of Things (IoT) and blockchain technologies. It proposes a secure, decentralized architecture for real-time monitoring and control, addressing key challenges for future research.
Area of Science:
- Computer Science
- Information Technology
- Cybersecurity
Background:
- Digital Twins (DT) are gaining prominence due to advancements in IT, Cloud Computing, IoT, and Blockchain.
- DTs provide comprehensive explanations of assets/systems but generate vast amounts of dynamic data.
- Blockchain offers transparency, traceability, and immutability for data and value transfer.
Purpose of the Study:
- To survey the integration of digital twins with blockchain for various applications.
- To propose a novel architecture for integrating digital twins with IoT-based blockchain.
- To identify challenges and future research directions in this domain.
Main Methods:
- Literature review and survey of digital twin, IoT, and blockchain integration.
- Conceptualization and architectural design of an IoT-based blockchain archive for digital twins.
- Analysis of challenges including data privacy, scalability, and interoperability.
Main Results:
- The integration of digital twins with IoT and blockchain enhances security, transparency, and data integrity.
- A proposed architecture enables secure, decentralized, real-time monitoring and control of physical assets.
- Key challenges and limitations of the integration are identified and discussed.
Conclusions:
- Integrating digital twins with IoT and blockchain technologies has revolutionary potential across industries.
- The proposed architecture provides a foundation for secure and decentralized digital twin applications.
- Further research is needed to address identified challenges and optimize integration.
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