Intelligent Management and Computing for Trustworthy Services under 6G-Empowered Cyber-Physical-Social System
- Authors
- Zhu, Chenlu; Fan, Xiaoxuan; Zheng, Wujie; Chen, Suning; Liu, Shenghao; Deng, Xianjun; Jeong, Young-Sik
- Issue Date
- Mar-2025
- Publisher
- IEEE
- Keywords
- 6G; Cyber-Physical-Social Systems (CPSS); Device Management; Federated Learning; Trustworthy
- Citation
- IEEE Network, v.39, no.2, pp 124 - 133
- Pages
- 10
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Network
- Volume
- 39
- Number
- 2
- Start Page
- 124
- End Page
- 133
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/56661
- DOI
- 10.1109/MNET.2024.3522294
- ISSN
- 0890-8044
1558-156X
- Abstract
- The advancement of 6G technology has accelerated the intelligent integration of Cyber-Physical-Social Systems (CPSS) and significantly supports efficient interactions among intelligent entities. The broader connectivity, increased device density, and enhanced data exchange pose trustworthy challenges for device management and multi-party computing in 6G-empowered CPSS. To address these challenges, this paper proposes an architecture named Trust-6GCPSS using 6G mobile networks, artificial intelligence, and CPSS technologies. Trust-6GCPSS deploys the sensing device trustworthy evaluation algorithm to ensure trusted device management and designs the multi-party parameter-sharing model to prevent privacy leakage during computing. Besides, the application scenarios and challenges of the proposed Trust-6GCPSS are discussed. Lastly, Trust-6GCPSS is demonstrated to offer more trustworthy and reliable services through simulation experiments in a specific intelligent transportation case. © 1986-2012 IEEE.
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Collections - College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

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