Federated Learning for 6G Security: A Survey on Threats, Solutions, and Research Directions


Por: Alwis, CD, Aouedi, O, Xu, JM, Wang, S, Siriwardhana, Y, Hewa, T, Zeydan, E, Sandeepa, C, Liyanage, M

Publicada: 1 ene 2026
Resumen:
The Sixth-Generation (6G) are already in the horizon, owing to advents of communication technologies towards enabling intelligent applications and services. Federated Learning (FL) is a distributed Artificial Intelligence (AI) technology that underpins 6G communication technologies and applications. Interestingly, FL is also a promising contender to enhance 6G security. This paper presents a comprehensive and up-to-date review of FL-enabled 6G security. The paper explores security threats in FL for 6G, threats in FL for 6G, and threats shared across FL and 6G. Subsequently, how FL can be utilized to strengthen 6G security in the Radio Access Network (RAN), Open RAN (O-RAN), network edge, and network orchestration and core is presented. In addition, FL is for 6G application and service security across various emerging applications, ranging from Connected Autonomous Vehicles (CAVs) to the envisaged metaverse applications. The paper then consolidates lessons learned, projects, and proposes future research directions to establish the role of FL in strengthening 6G security. © 1998-2012 IEEE.

Filiaciones:
Alwis, CD:
 Univ Bedfordshire, Sch Comp, Engn & Creat Ind, Luton, England

Aouedi, O:
 Univ Luxembourg, SnT, SIGCOM, Esch Sur Alzette, Luxembourg

Xu, JM:
 Univ Coll Dublin, Sch Comp Sci, Network Softwarizat & Secur Labs NetsLab, Dublin, Ireland

Wang, S:
 Univ Coll Dublin, Sch Comp Sci, Network Softwarizat & Secur Labs NetsLab, Dublin, Ireland

Siriwardhana, Y:
 Univ Oulu, Ctr Wireless Commun, Oulu, Finland

Hewa, T:
 Univ Oulu, Ctr Wireless Commun, Oulu, Finland

Zeydan, E:
 Ctr Tecnolg Telecomunicac Catalunya CTTC, Barcelona 08860, Spain

Sandeepa, C:
 Univ Coll Dublin, Sch Comp Sci, Network Softwarizat & Secur Labs NetsLab, Dublin, Ireland

Liyanage, M:
 Univ Coll Dublin, Sch Comp Sci, Network Softwarizat & Secur Labs NetsLab, Dublin, Ireland
ISSN: 1553877X
Editorial
Institute of Electrical and Electronics Engineers Inc., 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, Estados Unidos America
Tipo de documento: Review
Volumen: 28 Número:
Páginas: 4883-4914
WOS Id: 001696479900001
imagen hybrid, All Open Access; Hybrid Gold Open Access

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