Wireless networks are a key component of the telecommunications infrastructure in our
society, and wireless services become increasingly important as the applications of wireless …

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 …

With the rapid rollout and growing adoption of 3GPP 5thGeneration (5G) cellular services,
including in critical infrastructure sectors, it is important to review security mechanisms, risks …

This paper addresses various issues in the literature concerning adversarial attack detection
in Vehicular Ad-hoc Networks (VANETs). These issues include the failure to consider both …

This paper presents channel-aware adversarial attacks against deep learning-based
wireless signal classifiers. There is a transmitter that transmits signals with different …

Fifth-generation networks efficiently support and fulfill the demands of mobile broadband
and communication services. There has been a continuing advancement from 4G to 5G …

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 …

Cyber-physical systems (CPS) are increasingly relying on machine learning (ML)
techniques to reduce labor costs and improve efficiency. However, the adoption of ML also …

Aimed at inspiring researchers and practitioners, this paper presents comprehensive and
multidimensional discussions of the potential and benefits of integrating power line and …

The revolutionary sixth-generation wireless communications technologies and applications,
notably digital twin networks (DTN), connected autonomous vehicles (CAVs), space-air …