Generative ai for physical layer communications: A survey

N Van Huynh, J Wang, H Du, DT Hoang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …

[HTML][HTML] A comparative analysis of multi-label deep learning classifiers for real-time vehicle detection to support intelligent transportation systems

D Shokri, C Larouche, S Homayouni - Smart Cities, 2023 - mdpi.com
An Intelligent Transportation System (ITS) is a vital component of smart cities due to the
growing number of vehicles year after year. In the last decade, vehicle detection, as a …

Healthcare Internet of Things: Security Threats, Challenges and Future Research Directions

M Adil, MK Khan, N Kumar, M Attique… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Internet of Things (IoT) applications are switching from general to precise in different
industries, eg, healthcare, automation, military, maritime, smart cities, transportation …

A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning

UK Lilhore, S Dalal, S Simaiya - Computers & Security, 2024 - Elsevier
The fast growth of Internet of Things (IoT) gadgets and 5G networks has increased linkage
and accessibility. However, growing interconnectivity poses new threat levels in these …

Secured wireless network based on a novel dual integrated neural network architecture

HV Ramachandra, P Chavan… - Journal of Electrical …, 2023 - Wiley Online Library
The development of the fifth generation (5G) and sixth generation (6G) wireless networks
has gained wide spread importance in all aspects of life through the network due to their …

Safeguarding Next Generation Multiple Access Using Physical Layer Security Techniques: A Tutorial

L Lv, D Xu, RQ Hu, Y Ye, L Yang, X Lei, X Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Driven by the ever-increasing requirements of ultra-high spectral efficiency, ultra-low
latency, and massive connectivity, the forefront of wireless research calls for the design of …

[HTML][HTML] Anti-Jamming Low-Latency Channel Hopping Protocol for Cognitive Radio Networks

YH Hsieh, CM Chao, CY Lin, CC Yeh - Electronics, 2023 - mdpi.com
In order to increase channel usage efficiency, unlicensed users within a Cognitive Radio
Network (CRN) are permitted to utilize channels that are not currently occupied by licensed …

Generative AI for Secure Physical Layer Communications: A Survey

C Zhao, H Du, D Niyato, J Kang, Z Xiong, DI Kim… - arXiv preprint arXiv …, 2024 - arxiv.org
Generative Artificial Intelligence (GAI) stands at the forefront of AI innovation, demonstrating
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …

A Survey on Security of Ultra/Hyper Reliable Low Latency Communication: Recent Advancements, Challenges, and Future Directions

A Pradhan, S Das, MJ Piran, Z Han - arXiv preprint arXiv:2404.08160, 2024 - arxiv.org
Ultra-reliable low latency communication (URLLC) is an innovative service offered by fifth-
generation (5G) wireless systems. URLLC enables various mission-critical applications by …

Detecting malicious pilot contamination in multiuser massive MIMO using decision trees

PI da Cruz, D Leandro, T Spadini, R Suyama… - Telecommunication …, 2024 - Springer
Massive multiple-input multiple-output (MMIMO) is essential to modern wireless
communication systems, like 5G and 6G, but it is vulnerable to active eavesdropping attacks …