Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems
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 …
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
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 …
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
Next-generation (xG) wireless networks, with their complex and dynamic nature, present
significant challenges to using traditional optimization techniques. Generative Artificial …
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
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 …
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 …
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
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 …
connectivity has drawn significant attention in recent years. Alongside other UAV types …
Advanced deep learning models for 6G: overview, opportunities and challenges
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 …
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 …
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
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 …
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
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 …
profound fusion with novel communication paradigms and emerging technological trends …