This paper proposes a lightweight wireless intrusion detection method that identifies 5G jamming attacks using spectrograms derived directly from received IQ samples. Instead of relying on higher-layer metrics like PER or SINR which can fluctuate naturally and often fail to… Read More »Detecting 5G Signal Jammers Using Spectrograms with Supervised and Unsupervised Learning
In this paper, the authors propose a physical-layer challenge–response authentication (CR-PLA) protocol designed specifically for drone communication. Instead of relying on cryptographic keys, the receiver drone (Bob) authenticates the sender by exploiting location-dependent wireless channel attenuation, influenced by path loss… Read More »Energy-Based Optimization of Physical-Layer Challenge-Response Authentication with Drones
In this paper, a challenge–response physical-layer authentication (CR-PLA) scheme is proposed in which the receiver uses an Intelligent Reflecting Surface (IRS) to validate the identity of a single-antenna transmitter. The method operates by randomly selecting IRS phase configurations and checking… Read More »Physical-Layer Challenge-Response Authentication with IRS and Single-Antenna Devices
This paper analyzes a new attack strategy targeting challenge–response physical layer authentication (CR-PLA) systems that rely on intelligent reflecting surfaces (IRSs). The authors extend prior KL-divergence–based bounds for conventional PLA to the CR-PLA setting, where Bob randomizes the IRS phase… Read More »Divergence-Minimizing Attack Against Challenge-Response Authentication with IRSs
As the world transitions towards the sixth generation (6G) of wireless networks, ensuring robust security and trustworthiness solutions becomes a critical necessity. In this vein, the ROBUST-6G project aims to address key challenges related to security and trustworthiness through a… Read More »Exploring the Future of Secure 6G Networks: Insights from ROBUST-6G Deliverable 2.2