collaborators

7 papers

cs.CR2026

Where You Tap Matters: A Probe-and-Model Benchmark for Open-Set RF Fingerprinting

Gabriele Oligeri, Savio Sciancalepore, Ingrid Huso +1

Radio Frequency Fingerprint Identification (RFFI) enables transmitter identification at the physical layer by learning device-specific impairments from received signals, yet the li…

cs.CR2026

The Chronicles of Radio Frequency Fingerprinting

Abdul Aziz, Ingrid Huso, Savio Sciancalepore +1

Radio Frequency Fingerprinting (RFF) has evolved from an early idea for radar emitter identification into a broad research field for wireless device identification and spectrum mon…

cs.CR2026

Weak-Jamming Detection in IEEE 802.11 Networks: Techniques, Scenarios and Mobility

Martijn Hanegraaf, Savio Sciancalepore, Gabriele Oligeri

State-of-the-art solutions detect jamming attacks ex-post, i.e., only when jamming has already disrupted the wireless communication link. In many scenarios, e.g., mobile networks o…

cs.CR2025

HidePrint: Protecting Device Anonymity by Obscuring Radio Fingerprints

Gabriele Oligeri, Savio Sciancalepore

Radio Frequency Fingerprinting (RFF) techniques allow a receiver to authenticate a transmitter by analyzing the physical layer of the radio spectrum. Although the vast majority of…

cs.CR2025

Detection of Aerial Spoofing Attacks to LEO Satellite Systems via Deep Learning

Jos Wigchert, Savio Sciancalepore, Gabriele Oligeri

Detecting spoofing attacks to Low-Earth-Orbit (LEO) satellite systems is a cornerstone to assessing the authenticity of the received information and guaranteeing robust service del…

cs.CR2025

Preventing Radio Fingerprinting through Low-Power Jamming

Muhammad Irfan, Savio Sciancalepore, Gabriele Oligeri

Radio Frequency fingerprinting enables a passive receiver to recognize and authenticate a transmitter without the need for cryptographic tools. Authentication is achieved by isolat…