Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems

M Macas, C Wu, W Fuertes - Expert Systems with Applications, 2024 - Elsevier
Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …

Machine learning-enabled iot security: Open issues and challenges under advanced persistent threats

Z Chen, J Liu, Y Shen, M Simsek, B Kantarci… - ACM Computing …, 2022 - dl.acm.org
Despite its technological benefits, the Internet of Things (IoT) has cyber weaknesses due to
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …

Generative AI for the optimization of next-generation wireless networks: Basics, state-of-the-art, and open challenges

F Khoramnejad, E Hossain - IEEE Communications Surveys & …, 2025 - ieeexplore.ieee.org
Next-generation (xG) wireless networks, with their complex and dynamic nature, present
significant challenges to using traditional optimization techniques. Generative Artificial …

Edge learning for 6G-enabled Internet of Things: A comprehensive survey of vulnerabilities, datasets, and defenses

MA Ferrag, O Friha, B Kantarci… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …

Traffic-aware reliable scheduling in TSCH networks for industry 4.0: A systematic map** review

A Tabouche, B Djamaa… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Recently, mission-critical Industrial Internet of Things (IIoT) applications such as system
automation, predictive maintenance, and anomaly detection have come into the spotlight of …

A tutorial on AI-powered 3D deployment of drone base stations: State of the art, applications and challenges

N Parvaresh, M Kulhandjian, H Kulhandjian… - Vehicular …, 2022 - Elsevier
Deploying uncrewed aerial vehicles (UAVs) as aerial base stations (BSs) to assist terrestrial
connectivity has drawn significant attention in recent years. Alongside other UAV types …

Advanced deep learning models for 6G: overview, opportunities and challenges

L Jiao, Y Shao, L Sun, F Liu, S Yang, W Ma, L Li… - IEEE …, 2024 - ieeexplore.ieee.org
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey

NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …

Secure industrial iot systems via rf fingerprinting under impaired channels with interference and noise

OM Gul, M Kulhandjian, B Kantarci, A Touazi… - IEEE …, 2023 - ieeexplore.ieee.org
Industrial IoT-enabled critical infrastructures are susceptible to cyber attacks due to their
mission-critical deployment. To ensure security by design, radio frequency (RF)-based …

At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence

A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …