University of Oulu

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

AI for beyond 5G networks : a cyber-security defense or offense enabler?

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Author: Benzäıd, Chafika1; Taleb, Tarik1,2,3
Organizations: 1Aalto University, Espoo, Finland
2University of Oulu, Oulu, Finland
3Sejong University, Seoul, South Korea
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202102255948
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2021-02-25
Description:

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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Series: IEEE network
ISSN: 0890-8044
ISSN-E: 1558-156X
ISSN-L: 0890-8044
Volume: 34
Issue: 6
Pages: 140 - 147
DOI: 10.1109/MNET.011.2000088
OADOI: https://oadoi.org/10.1109/MNET.011.2000088
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work was supported in part by the European Union’s Horizon 2020 research and innovation programme under the INSPIRE-5Gplus project (Grant No. 871808) and MonB5G project (Grant No. 871780); the Academy of Finland Project 6Genesis Flagship (Grant No. 318927); and CSN (Grant No. 311654).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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