AI for beyond 5G networks : a cyber-security defense or offense enabler?
Benzäıd, Chafika; Taleb, Tarik (2020-09-03)
C. Benzaid and T. Taleb, "AI for Beyond 5G Networks: A Cyber-Security Defense or Offense Enabler?," in IEEE Network, vol. 34, no. 6, pp. 140-147, November/December 2020, doi: 10.1109/MNET.011.2000088
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https://urn.fi/URN:NBN:fi-fe202102255948
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Abstract
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 article sheds light on how AI may impact the security of 5G and its successor 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.
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