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

  • Chenlu Zhu
  • , Xiaoxuan Fan
  • , Wujie Zheng
  • , Suning Chen
  • , Shenghao Liu
  • , Xianjun Deng
  • , Young Sik Jeong

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)124-133
Number of pages10
JournalIEEE Network
Volume39
Issue number2
DOIs
StatePublished - 2025

Keywords

  • 6G
  • Cyber-Physical-Social Systems (CPSS)
  • Device Management
  • Federated Learning
  • Trustworthy

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