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Artificial Intelligence Review

Erschienen in:

04.02.2022

The role of artificial intelligence and machine learning in wireless networks security: principle, practice and challenges

verfasst von: Muhammad Waqas, Shanshan Tu, Zahid Halim, Sadaqat Ur Rehman, Ghulam Abbas, Ziaul Haq Abbas

Erschienen in: Artificial Intelligence Review | Ausgabe 7/2022

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Abstract

Security is one of the biggest challenges concerning networks and communications. The problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence (AI) has emerged as a promising solution and a volume of literature exists on the methodological studies of AI to resolve the security challenge. In this survey, we present a taxonomy of security threats and review distinct aspects and the potential of AI to resolve the challenge. To the best of our knowledge, this is the first comprehensive survey to review the AI solutions for all possible security types and threats. We also present the lessons learned from the existing AI techniques and contributions of up-to-date literature, future directions of AI in security, open issues that need to be investigated further through AI, and discuss how AI can be more effectively used to overcome the upcoming advanced security threats.

Vorheriger Artikel Persistent-homology-based machine learning: a survey and a comparative study

Nächster Artikel Brain-inspired models for visual object recognition: an overview

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Titel: The role of artificial intelligence and machine learning in wireless networks security: principle, practice and challenges
verfasst von: Muhammad Waqas
Shanshan Tu
Zahid Halim
Sadaqat Ur Rehman
Ghulam Abbas
Ziaul Haq Abbas
Publikationsdatum: 04.02.2022
Verlag: Springer Netherlands
Erschienen in: Artificial Intelligence Review / Ausgabe 7/2022
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI: https://doi.org/10.1007/s10462-022-10143-2

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