Trustworthy Digital Twins in the Industrial Internet of Things with Blockchain
| Autor: | Sabah Suhail, Raja Jurdak, Choong Seon Hong, Rasheed Hussain |
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| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Distributed databases Blockchain Computer Science - Cryptography and Security Monitoring Computer Networks and Communications Process (engineering) Computer science Data management Data modeling Product lifecycle Data security and trust Dissemination Distributed database Sensors business.industry Data models Industrial Internet of Things (IIoT) Data science Digital twin Industrial Internet of Things Disparate system Digital Twins (DTs) business Industries Cryptography and Security (cs.CR) |
| Zdroj: | Suhail, S, Hussain, R, Jurdak, R & Hong, C S 2021, ' Trustworthy Digital Twins in the Industrial Internet of Things with Blockchain ', IEEE Internet Computing . https://doi.org/10.1109/MIC.2021.3059320 |
| DOI: | 10.48550/arxiv.2010.12168 |
| Popis: | 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 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. |
| Databáze: | OpenAIRE |
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