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Blockchain-Based Decentralized Reputation Management System for Internet of Everything in 6G-Enabled Cybertwin Architecture

Meimin Wang, Zhili Zhou*, Chun Ding

Nanjing University of Information Science & Technology, Nanjing, 210044, China

* Corresponding Author:Zhili Zhou. Email: email

Journal of New Media 2021, 3(4), 137-150. https://doi.org/10.32604/jnm.2021.024543

Abstract

Internet of Everything (IoE) has emerged as a promising paradigm for the purpose of connecting and exchanging data among physical objects and humans over the Internet, and it can be widely applied in the fields of industry, transportation, commerce, and education. Recently, the emergence of 6G-enabled cybertwin network architecture provides the technical and theoretical foundation for the realization of IoE paradigm. However, the IoE has three open issues in the 6G-enabled cybertwin architecture, i.e., data authenticity, data storage and node reliability. To address these issues, we propose a blockchain-based decentralized reputation management system (BC-DRMS) for IoE in 6G-enabled Cybertwin architecture. In the proposed BC-DRMS, the traffic data collected from end nodes is stored on the blockchain and the decentralized file system, i.e., InterPlanetary File System (IPFS), to resist data tampering, and then the data is further processed by the edge clouds and core clouds to provide services to users. Also, a multi-level reputation evaluation scheme is designed to compute the reputation scores of IoE nodes to prevent malicious node attacks. The experiment results and analysis demonstrate that, compared to the traditional centralized reputation management systems (CRMS), the proposed BC-DRMS cannot only address the issues of data authenticity and storage, but also provides high reliability for IoE in 6G-enabled cybertwin architecture.

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Cite This Article

M. Wang, Zhili Zhou and C. Ding, "Blockchain-based decentralized reputation management system for internet of everything in 6g-enabled cybertwin architecture," Journal of New Media, vol. 3, no.4, pp. 137–150, 2021.

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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