Machine learning for 5G security: Architecture, recent advances, and challenges

A Afaq, N Haider, MZ Baig, KS Khan, M Imran, I Razzak - Ad Hoc Networks, 2021 - Elsevier
The granularization of crucial network functions implementation using software-centric, and
virtualized approaches in 5G networks have brought forth unprecedented security …

Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends

N Haider, MZ Baig, M Imran - arXiv preprint arXiv:2007.04490, 2020 - arxiv.org
Recent technological and architectural advancements in 5G networks have proven their
worth as the deployment has started over the world. Key performance elevating factor from …

A comprehensive study on the role of machine learning in 5G security: challenges, technologies, and solutions

HN Fakhouri, S Alawadi, FM Awaysheh, IB Hani… - Electronics, 2023 - mdpi.com
Fifth-generation (5G) mobile networks have already marked their presence globally,
revolutionizing entertainment, business, healthcare, and other domains. While this leap …

Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities

S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

Machine learning threatens 5G security

J Suomalainen, A Juhola, S Shahabuddin… - IEEE …, 2020 - ieeexplore.ieee.org
Machine learning (ML) is expected to solve many challenges in the fifth generation (5G) of
mobile networks. However, ML will also open the network to several serious cybersecurity …

Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification

HA Kholidy, A Berrouachedi… - 2023 20th ACS/IEEE …, 2023 - ieeexplore.ieee.org
Over the last decade, the demand for greater security in 5G networks has grown
significantly. Ensuring data security during transmission against external attacks has …

Machine learning assisted security analysis of 5g-network-connected systems

T Saha, N Aaraj, NK Jha - IEEE Transactions on Emerging …, 2022 - ieeexplore.ieee.org
The core network architecture of telecommunication systems has undergone a paradigm
shift in the fifth-generation (5G) networks. 5G networks have transitioned to software-defined …

Unveiling the Potential of Artificial Intelligence and Machine Learning in the 5G Network Landscape: A Comprehensive Review

S Rizvi - Asian Journal of Research in Computer …, 2023 - publications.article4sub.com
Exploring successful case studies, scholars and industry experts concur that artificial
intelligence (AI) and 5G technology, as holistic solutions, exhibit remarkable efficiency. The …

Automated attack and defense framework toward 5G security

Y Sun, Z Tian, M Li, C Zhu, N Guizani - IEEE Network, 2020 - ieeexplore.ieee.org
5G networks are currently being developed rapidly and are dedicated to connect all things of
the Internet with new technologies, components and services. Due to the crucial role of 5G …

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

C Benzaïd, T Taleb - IEEE network, 2020 - ieeexplore.ieee.org
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 …