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Intelligent Management and Computing for Trustworthy Services under 6G-Empowered Cyber-Physical-Social System

Authors
Zhu, ChenluFan, XiaoxuanZheng, WujieChen, SuningLiu, ShenghaoDeng, XianjunJeong, 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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