Cover Image

Learning The Likelihood Test With One-Class Classifiers for Physical Layer Authentication

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ardizzon, Francesco, Tomasin, Stefano
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Authentication by Location Tracking in Underwater Acoustic Networks
by: Ventura, Gianmaria, et al.
Published: (2024)

Energy-Based Optimization of Physical-Layer Challenge-Response Authentication with Drones
by: Ardizzon, Francesco, et al.
Published: (2024)

One-Class Classification as GLRT for Jamming Detection in Private 5G Networks
by: Varotto, Matteo, et al.
Published: (2024)

Challenge-Response to Authenticate Drone Communications: A Game Theoretic Approach
by: Piana, Mattia, et al.
Published: (2024)

Machine Learning-Based Distributed Authentication of UWAN Nodes with Limited Shared Information
by: Ardizzon, Francesco, et al.
Published: (2022)

On the Limits of Cross-Authentication Checks for GNSS Signals
by: Ardizzon, Francesco, et al.
Published: (2023)

Secret-Key-Agreement Advantage Distillation With Quantization Correction
by: Ardizzon, Francesco, et al.
Published: (2023)

Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
by: Zhang, Junqing, et al.
Published: (2025)

On the Optimal Spoofing Attack and Countermeasure in Satellite Navigation Systems
by: Crosara, Laura, et al.
Published: (2023)

Physical Layer Authentication With Colored RIS in Visible Light Communications
by: Vela, Besra Cetindere, et al.
Published: (2025)

Hybrid Channel- and Coding-Based Challenge-Response Physical-Layer Authentication
by: Crosara, Laura, et al.
Published: (2025)

Performance Limits for Signals of Opportunity-Based Navigation
by: Zanirato, Francesco, et al.
Published: (2024)

Lightweight Pilot Estimation on LEO Satellite Signals for Enhanced SOP Navigation
by: Zanirato, Francesco, et al.
Published: (2026)

Challenge-Response Authentication for LEO Satellite Channels: Exploiting Orbit-Specific Uniqueness
by: Lee, Jinyoung, et al.
Published: (2026)

Detecting 5G Narrowband Jammers with CNN, k-nearest Neighbors, and Support Vector Machines
by: Varotto, Matteo, et al.
Published: (2024)

Deep Learning Models for Physical Layer Communications
by: Letizia, Nunzio A.
Published: (2025)

Listenable Maps for Audio Classifiers
by: Paissan, Francesco, et al.
Published: (2024)

Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization
by: Owfi, Ali, et al.
Published: (2025)

Secret Key Generation on Aerial Rician Fading Channels Against a Curious Receiver
by: Piana, Mattia, et al.
Published: (2025)

User Localization with HRIS and Backscatter Modulation for Next-Generation Networks
by: Piana, Mattia, et al.
Published: (2024)

Listenable Maps for Zero-Shot Audio Classifiers
by: Paissan, Francesco, et al.
Published: (2024)

DANCE: Detect and Classify Events in EEG
by: Lévy, Jarod, et al.
Published: (2026)

Detecting 5G Signal Jammers Using Spectrograms with Supervised and Unsupervised Learning
by: Varotto, Matteo, et al.
Published: (2024)

BLIS-Net: Classifying and Analyzing Signals on Graphs
by: Xu, Charles, et al.
Published: (2023)

Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case
by: Lu, Hanxiao, et al.
Published: (2024)

Evaluating Classifier Confidence for Surface EMG Pattern Recognition
by: Furui, Akira
Published: (2023)

ELC: Evidential Lifelong Classifier for Uncertainty Aware Radar Pulse Classification
by: Rabie, Mohamed, et al.
Published: (2026)

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers
by: Fang, Xubin, et al.
Published: (2026)

Physics-Informed Generative Modeling of Wireless Channels
by: Böck, Benedikt, et al.
Published: (2025)

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
by: Matsubara, Yoshitomo, et al.
Published: (2021)

A General Framework for Scalable UE-AP Association in User-Centric Cell-Free Massive MIMO based on Recurrent Neural Networks
by: Di Gennaro, Giovanni, et al.
Published: (2025)

Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
by: Lang, Natalie, et al.
Published: (2024)

Interpretable Battery Aging without Extra Tests via Neural-Assisted Physics-based Modelling
by: Qiu, Yuan, et al.
Published: (2026)

Flexible K Nearest Neighbors Classifier: Derivation and Application for Ion-mobility Spectrometry-based Indoor Localization
by: Müller, Philipp
Published: (2023)

A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification
by: Barbieri, Luca, et al.
Published: (2023)

The Query/Hit Model for Sequential Hypothesis Testing
by: Shariatnasab, Mahshad, et al.
Published: (2025)

LMAC-TD: Producing Time Domain Explanations for Audio Classifiers
by: Mancini, Eleonora, et al.
Published: (2024)

Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification
by: Zahid, Muhammad Uzair, et al.
Published: (2024)

Physics-Informed Operator Learning for Hemodynamic Modeling
by: Chappell, Ryan, et al.
Published: (2025)

Learning Multi-Frequency Partial Correlation Graphs
by: D'Acunto, Gabriele, et al.
Published: (2023)