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

M Waqas, S Tu, Z Halim, SU Rehman, G Abbas… - Artificial Intelligence …, 2022 - Springer
Security is one of the biggest challenges concerning networks and communications. The
problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence …

A systematic review on machine learning and deep learning models for electronic information security in mobile networks

C Gupta, I Johri, K Srinivasan, YC Hu, SM Qaisar… - Sensors, 2022 - mdpi.com
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …

[PDF][PDF] Ai-driven security: How machine learning will shape the future of cybersecurity and web 3.0

JP Bharadiya - American Journal of Neural Networks and …, 2023 - researchgate.net
As the world becomes increasingly digital, the need for advanced cybersecurity measures
has never been greater. Cybersecurity is the practice of protecting computer systems …

Artificial intelligence in cyber security: research advances, challenges, and opportunities

Z Zhang, H Ning, F Shi, F Farha, Y Xu, J Xu… - Artificial Intelligence …, 2022 - Springer
In recent times, there have been attempts to leverage artificial intelligence (AI) techniques in
a broad range of cyber security applications. Therefore, this paper surveys the existing …

Application of machine learning and deep learning in cybersecurity: An innovative approach

D Kaushik, M Garg, A Gupta… - … Approach to Modern …, 2022 - taylorfrancis.com
Machine learning (ML) and deep learning (DL) both drawn unparalleled community interest
recently. With a growing convergence of online activities and digital life, the way people …

Ai-driven cybersecurity: an overview, security intelligence modeling and research directions

IH Sarker, MH Furhad, R Nowrozy - SN Computer Science, 2021 - Springer
Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (or
Industry 4.0), which can be used for the protection of Internet-connected systems from cyber …

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 …

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 …

Explainable artificial intelligence for cybersecurity: a literature survey

F Charmet, HC Tanuwidjaja, S Ayoubi… - Annals of …, 2022 - Springer
With the extensive application of deep learning (DL) algorithms in recent years, eg, for
detecting Android malware or vulnerable source code, artificial intelligence (AI) and …

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 …