Security, Trust and Privacy challenges in AI-driven 6G Networks

Helena Rifa-Pous, Victor Garcia-Font, Carlos Nunez-Gomez, Julian Salas
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Abstract

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.
人工智能驱动的 6G 网络面临的安全、信任和隐私挑战
6G 网络的出现有望为无线通信带来前所未有的进步,与前代网络相比,它能提供更宽的带宽和更低的延迟。本文探讨了 6G 网络不断发展的基础设施,强调了向更分散结构的过渡以及人工智能 (AI) 技术的集成。此外,文章还探讨了 6G 网络中的安全、信任和隐私挑战与攻击,特别是与使用人工智能有关的挑战与攻击。论文对源自以人工智能为中心的架构的网络攻击进行了分类,并探索了旨在检测或缓解这些新兴威胁的技术。论文最后探讨了利用人工智能确保网络稳健所带来的影响和风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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