Digital Twin for Wireless Networks : Security Attacks and Solutions

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Yaoqi Yang
  • Latif U. Khan
  • Dusit Niyato
  • Zhu Han
  • Mohsen Guizani

Related Research Unit(s)

Detail(s)

Original languageEnglish
Number of pages8
Journal / PublicationIEEE Wireless Communications
Online published20 Nov 2023
Publication statusOnline published - 20 Nov 2023

Abstract

Emerging applications (e.g., human-computer interaction, digital healthcare, and intelligent transportation systems) can be effectively enabled using digital twins (DTs) that combine the virtual model of a physical system with other technologies/ schemes (i.e., mathematical optimization, game theory, and machine learning). Although DTs can well enable wireless systems, they will suffer from various security attacks. Therefore, this article presents an overview of security attacks and concerns in a DT-enabled wireless system. We propose a general framework that will serve as guidelines for future DT-enabled wireless systems. Additionally, we present two use cases to show the effectiveness of the proposed framework. A Stackelberg game-enabled model is provided to effectively enable anti-jamming attacks. In addition a residual- enabled reweighting aggregation scheme furnishes robust training against flawed parameters. Finally, we present an outlook on future directions.

Research Area(s)

  • Digital twins (DTs), wireless systems, twin space, physical space, twin security

Bibliographic Note

Information for this record is supplemented by the author(s) concerned.

Citation Format(s)

Digital Twin for Wireless Networks: Security Attacks and Solutions. / Wang, Weizheng; Yang, Yaoqi; Khan, Latif U. et al.
In: IEEE Wireless Communications, 20.11.2023.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review