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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 …
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 …
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 …
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 …
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 …
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 …
Artificial intelligence empowered physical layer security for 6G: State-of-the-art, challenges, and opportunities
S Zhang, D Zhu, Y Liu - Computer Networks, 2024 - Elsevier
With the commercial deployment of the 5G system, researchers from both academia and
industry are moving attention to the blueprint of the 6G system. The space–air–ground–sea …
industry are moving attention to the blueprint of the 6G system. The space–air–ground–sea …
Vulnerability of machine learning approaches applied in iot-based smart grid: A review
Machine learning (ML) sees an increasing prevalence of being used in the Internet of Things
(IoT)-based smart grid. However, the trustworthiness of ML is a severe issue that must be …
(IoT)-based smart grid. However, the trustworthiness of ML is a severe issue that must be …
Traffic-aware reliable scheduling in TSCH networks for industry 4.0: A systematic map** review
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 …
Applications of generative AI (GAI) for mobile and wireless networking: A survey
The success of artificial intelligence (AI) in multiple disciplines and vertical domains in recent
years has promoted the evolution of mobile networking and the future Internet toward an AI …
years has promoted the evolution of mobile networking and the future Internet toward an AI …