When wireless security meets machine learning: Motivation, challenges, and research directions

YE Sagduyu, Y Shi, T Erpek, W Headley… - arXiv preprint arXiv …, 2020 - arxiv.org
… This article discusses motivation, background, and scope of research efforts that bridge
ML and wireless security. Motivated by research directions surveyed in the context of ML for …

Machine learning meets communication networks: Current trends and future challenges

I Ahmad, S Shahabuddin, H Malik, E Harjula… - IEEE …, 2020 - ieeexplore.ieee.org
… techniques to motivate future research are … research directions and the associated challenges
brought forward by the use of ML algorithms in the MAC protocol design for future wireless

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
… that can address wireless network security threats. Although … Taking the motivation from
human communication to utilize … However, the data exploration techniques cannot meet the …

Machine learning in IoT security: Current solutions and future challenges

F Hussain, R Hussain, SA Hassan… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
security problems in IoT networks. We also discuss several future research directions for ML-
and DL-based IoT security… the motivation for using ML to address security challenges in IoT …

When machine learning meets spectrum sharing security: Methodologies and challenges

Q Wang, H Sun, RQ Hu… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
… can be exposed to different potential security and privacy issues, requiring protection …
Machine learning (ML) based methods have frequently been proposed to address those issues. In …

Towards energy efficient 5G networks using machine learning: Taxonomy, research challenges, and future research directions

A Mughees, M Tahir, MA Sheikh, A Ahad - Ieee Access, 2020 - ieeexplore.ieee.org
MOTIVATION Cellular technologies have seen gradual evolution from 1st generation to 5th
(5G) for meeting the … The motivation behind this article is to address the growing need for …

Adversarial machine learning in wireless communications using RF data: A review

D Adesina, CC Hsieh, YE Sagduyu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
… An important research direction for AML in wireless communications is to identify robust …
wireless security meets machine learning: Motivation, challenges, and research directions,” …

An overview of machine learning-based techniques for solving optimization problems in communications and signal processing

H Dahrouj, R Alghamdi, H Alwazani… - IEEE …, 2021 - ieeexplore.ieee.org
… the reversed direction of machine learning and optimization … The basic motivation for which
optimization problems may be … meet QoE requirements when user i receives content υ in (32): …

Deep learning-driven wireless communication for edge-cloud computing: opportunities and challenges

H Wu, X Li, Y Deng - Journal of Cloud Computing, 2020 - Springer
… concepts to research directions in future wireless networking … Motivated by the covariance
matrix structure, a deep learning-… to meet critical privacy and security requirements in wireless

Wireless for machine learning: A survey

H Hellström, JMB da Silva Jr, MM Amiri… - … and Trends® in …, 2022 - nowpublishers.com
… published in this direction. In this … Wireless for ML literature for over-the-air computation
and digital communication, respectively. In Section 5, we discuss the open problems in Wireless