39 citations · 102 across the 15 of their papers we have counts for
15 papers
ISAC-Assisted Channel Knowledge Map Generation for Physical Layer Authentication
Luca Bonaventura, Edoardo Gardin, Alessia Barison +2
Integrated sensing and communication (ISAC) enables the acquisition of environmental information by leveraging wireless signals transmitted for communication purposes. In this pape…
Physical Layer Authentication With Channel Knowledge Maps in Indoor Environments
Luca Bonaventura, Francesco Ardizzon, Stefano Tomasin
Physical layer authentication (PLA) allows to authenticate the user by comparing measurements over time, assuming their time consistency or by modeling their evolution. However, th…
Lightweight Pilot Estimation on LEO Satellite Signals for Enhanced SOP Navigation
Francesco Zanirato, Alessio Curzio, Francesco Ardizzon +5
The computation of positioning, navigation and timing (PNT) via signal of opportunity (SOP), where signals originally transmitted for communication, such as 5G, Wi-Fi, or DVB-S, ar…
Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
Junqing Zhang, Francesco Ardizzon, Mattia Piana +2
The identification of the devices from which a message is received is part of security mechanisms to ensure authentication in wireless communications. Conventional authentication a…
Crystal Oscillators in OSNMA-Enabled Receivers: An Implementation View for Automotive Applications
Francesco Ardizzon, Nicola Laurenti, Carlo Sarto +3
To ensure the authenticity of navigation data, Galileo Open Service navigation message authentication (OSNMA) requires loose synchronization between the receiver clock and the syst…
Authentication by Location Tracking in Underwater Acoustic Networks
Gianmaria Ventura, Francesco Ardizzon, Stefano Tomasin
Physical layer message authentication in underwater acoustic networks (UWANs) leverages the characteristics of the underwater acoustic channel (UWAC) as a fingerprint of the transm…
Challenge-Response to Authenticate Drone Communications: A Game Theoretic Approach
Mattia Piana, Francesco Ardizzon, Stefano Tomasin
As drones are increasingly used in various civilian applications, the security of drone communications is a growing concern. In this context, we propose novel strategies for challe…
Performance Limits for Signals of Opportunity-Based Navigation
Francesco Zanirato, Francesco Ardizzon, Laura Crosara +4
This paper investigates the potential of non-terrestrial and terrestrial signals of opportunity (SOOP) for navigation applications. Non-terrestrial SOOP analysis employs modified C…
One-Class Classification as GLRT for Jamming Detection in Private 5G Networks
Matteo Varotto, Stefan Valentin, Francesco Ardizzon +2
5G mobile networks are vulnerable to jamming attacks that may jeopardize valuable applications such as industry automation. In this paper, we propose to analyze radio signals with…
Energy-Based Optimization of Physical-Layer Challenge-Response Authentication with Drones
Francesco Ardizzon, Damiano Salvaterra, Mattia Piana +1
Drones are expected to be used for many tasks in the future and require secure communication protocols. In this work, we propose a novel physical layer authentication (PLA)-based c…
Secret-Key-Agreement Advantage Distillation With Quantization Correction
Francesco Ardizzon, Francesco Giurisato, Stefano Tomasin
We propose a novel advantage distillation strategy for physical layer-based secret-key-agreement (SKA). We consider a scenario where Alice and Bob aim at extracting a common bit se…
On the Limits of Cross-Authentication Checks for GNSS Signals
Francesco Ardizzon, Laura Crosara, Stefano Tomasin +1
Global navigation satellite systems (GNSSs) are implementing security mechanisms: examples are Galileo open service navigation message authentication (OS-NMA) and GPS chips-message…
On the Optimal Spoofing Attack and Countermeasure in Satellite Navigation Systems
Laura Crosara, Francesco Ardizzon, Stefano Tomasin +1
The threat of signal spoofing attacks against GNSS has grown in recent years and has motivated the study of anti-spoofing techniques. However, defense methods have been designed on…
Learning The Likelihood Test With One-Class Classifiers for Physical Layer Authentication
Francesco Ardizzon, Stefano Tomasin
In physical layer authentication (PLA) mechanisms, a verifier decides whether a received message has been transmitted by a legitimate user or an intruder, according to some feature…
Machine Learning-Based Distributed Authentication of UWAN Nodes with Limited Shared Information
Francesco Ardizzon, Roee Diamant, Paolo Casari +1
We propose a technique to authenticate received packets in underwater acoustic networks based on the physical layer features of the underwater acoustic channel (UWAC). Several sens…