AI for Beyond 5G Networks: A Cyber-Security Defense or Offense Enabler? [article]

C. Benzaid, T. Taleb
<span title="2022-01-05">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Artificial Intelligence (AI) is envisioned to play a pivotal role in empowering intelligent, adaptive and autonomous security management in 5G and beyond networks, thanks to its potential to uncover hidden patterns from a large set of time-varying multi-dimensional data, and deliver faster and accurate decisions. Unfortunately, AI's capabilities and vulnerabilities make it a double-edged sword that may jeopardize the security of future networks. This paper sheds light on how AI may impact the
more &raquo; ... curity of 5G and its successive from its posture of defender, offender or victim, and recommends potential defenses to safeguard from malevolent AI while pointing out their limitations and adoption challenges.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2201.02730v1">arXiv:2201.02730v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/upuk2pjcfzag5bjs5woeiwkxe4">fatcat:upuk2pjcfzag5bjs5woeiwkxe4</a> </span>
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