Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures

B Ozpoyraz, AT Dogukan, Y Gevez… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

Dimensions of internet of things: Technological taxonomy architecture applications and open challenges—a systematic review

K Kumar, A Kumar, N Kumar… - Wireless …, 2022 - Wiley Online Library
We are traversing the growing emerging technology paradigms in today's advanced
technological world. In this present era, the Internet of Things (IoT) is extensively used in all …

Towards scalable and channel-robust radio frequency fingerprint identification for LoRa

G Shen, J Zhang, A Marshall… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is a promising device authentication
technique based on transmitter hardware impairments. The device-specific hardware …

Industrial internet-of-things security enhanced with deep learning approaches for smart cities

N Magaia, R Fonseca, K Muhammad… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The significant evolution of the Internet of Things (IoT) enabled the development of
numerous devices able to improve many aspects in various fields in the industry for smart …

The security and privacy of mobile edge computing: An artificial intelligence perspective

C Wang, Z Yuan, P Zhou, Z Xu, R Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is a new computing paradigm that enables cloud computing
and information technology (IT) services to be delivered at the network's edge. By shifting …

Smart applications in edge computing: Overview on authentication and data security

X Li, T Chen, Q Cheng, S Ma… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
As a new computing paradigm, edge computing has appeared in the public field of vision
recently. Owing to its advantages of low delay and fast response, edge computing has …

MADDPG-based security situational awareness for smart grid with intelligent edge

W Lei, H Wen, J Wu, W Hou - Applied Sciences, 2021 - mdpi.com
Advanced communication and information technologies enable smart grids to be more
intelligent and automated, although many security issues are emerging. Security situational …

Physical-layer authentication based on hierarchical variational autoencoder for industrial internet of things

R Meng, X Xu, B Wang, H Sun, S Xia… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Recently, physical-layer authentication (PLA) has attracted much attention since it takes
advantage of the channel randomness nature of transmission media to achieve …

Physical layer authentication in wireless networks-based machine learning approaches

L Alhoraibi, D Alghazzawi, R Alhebshi, OBJ Rabie - Sensors, 2023 - mdpi.com
The physical layer security of wireless networks is becoming increasingly important because
of the rapid development of wireless communications and the increasing security threats. In …

Machine learning-based physical layer security: techniques, open challenges, and applications

AK Kamboj, P Jindal, P Verma - Wireless Networks, 2021 - Springer
Wireless physical layer security (WPLS) is a powerful technology for current and emerging
mobile networks. Physical layer authentication (PLA), antenna selection (AS), and relay …