Physical Layer Authentication and Security Design in the Machine Learning Era

TM Hoang, A Vahid, HD Tuan… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Security at the physical layer (PHY) is a salient research topic in wireless systems, and
machine learning (ML) is emerging as a powerful tool for providing new data-driven security …

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 …

Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases

G Sun, W Xie, D Niyato, F Mei, J Kang, H Du… - arXiv preprint arXiv …, 2024 - arxiv.org
As a form of artificial intelligence (AI) technology based on interactive learning, deep
reinforcement learning (DRL) has been widely applied across various fields and has …

On EE Maximization in D2D-CRN With Eavesdropping Using LSTM Based Channel Estimation

S Ghosh, SP Maity… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Emergence of 5G and beyond promise development of several applications specific Internet-
of-Things (IoT) services involving consumer electronics devices doing trustworthy intelligent …

Transmit Power Control for Secure Wireless-Powered Sensor Networks with Malicious Energy Harvester

K Lee, HH Choi - IEEE Access, 2023 - ieeexplore.ieee.org
We consider a wireless-powered sensor network (WPSN) in which multiple transmitting and
receiving node pairs communicate with each other, and the nodes not involved in the …