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Stefano Tomasin

Analysis of Challenge-Response Authentication With Reconfigurable Intelligent Surfaces

This paper examines how Reconfigurable Intelligent Surfaces (RIS) can be used to strengthen wireless challenge–response physical-layer authentication (CR-PLA). In CR-PLA, the receiver verifies a transmitter by sending a challenge and checking whether the resulting channel response matches the expected physical… Read More »Analysis of Challenge-Response Authentication With Reconfigurable Intelligent Surfaces

One-Class Classification as GLRT for Jamming Detection in Private 5G Networks

This paper explores a machine-learning approach for detecting jamming attacks in private 5G networks by framing the problem as one-class classification. Rather than relying on prior knowledge of attacker behavior, the authors aim to detect whether a received signal deviates… Read More »One-Class Classification as GLRT for Jamming Detection in Private 5G Networks

ROBUST-6G: Smart, Automated, and Reliable Security Service Platform for 6G

This paper introduces ROBUST-6G, a European research initiative aimed at designing a comprehensive security platform for future 6G networks. As 6G moves toward deeply integrated digital: physical systems, the project focuses on building security mechanisms that are data-driven, automated, trustworthy,… Read More »ROBUST-6G: Smart, Automated, and Reliable Security Service Platform for 6G

Detecting 5G Signal Jammers Using Spectrograms with Supervised and Unsupervised Learning

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

Energy-Based Optimization of Physical-Layer Challenge-Response Authentication with Drones

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

Physical-Layer Challenge-Response Authentication with IRS and Single-Antenna Devices

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

Divergence-Minimizing Attack Against Challenge-Response Authentication with IRSs

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