Helena Rifa-Pous, Victor Garcia-Font, Carlos Nunez-Gomez, Julian Salas
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Security, Trust and Privacy challenges in AI-driven 6G Networks
The advent of 6G networks promises unprecedented advancements in wireless
communication, offering wider bandwidth and lower latency compared to its
predecessors. This article explores the evolving infrastructure of 6G networks,
emphasizing the transition towards a more disaggregated structure and the
integration of artificial intelligence (AI) technologies. Furthermore, it
explores the security, trust and privacy challenges and attacks in 6G networks,
particularly those related to the use of AI. It presents a classification of
network attacks stemming from its AI-centric architecture and explores
technologies designed to detect or mitigate these emerging threats. The paper
concludes by examining the implications and risks linked to the utilization of
AI in ensuring a robust network.