Session B4: Interference, Jamming, and Spoofing 2

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Date: Wednesday, April 30, 2025
Time: 1:45 p.m. - 5:30 p.m.

Session Chairs:

Dr. Sanjeev Gunawardena Air Force Institute of Technology	Zachary Clements University of Texas at Austin

Abstracts in this session are listed alphabetically. Following peer review of the full manuscripts, each abstract will be designated as a primary or as an alternate presentation.

	Advancing Towards a Comprehensive GNSS Interference Management Framework: A Deep Learning Neural Network Approach for Classification of FM Chirp Jammers: Yasmine Chaiben, University Gustave Eiffel; Syed Ali Kazim, IRT Railenium; Juliette Marais, University Gustave Eiffel
	ASPIS: A Comprehensive AI-Powered GNSS Anti-Spoofing Solution for Modern Navigation and Timing & Synchronization Systems: Franco Gottifredi, Andrea Basciu, Joseph Locantore, WAY4WARD s.r.l.; Luca Cucchi, and Andrea Piccolo, European Commission Joint Research Centre
	Beam Steering Adaptive Noise Cancellation with a Controlled Reception Pattern Antenna for GNSS Anti-Jamming: Jacob W. Harris and David M. Bevly, Auburn University
	Clock Bias Drift Monitoring to Discriminate GNSS Signal after Prolonged Signal Loss: Jose Manuel Rubio Hernan, SAMOVAR, Institut Polytechnique de Paris; Christian Gentner, Institute of Communications and Navigation, German Aerospace Center (DLR); Alexandre Vervisch-Picois, Nel Samama, SAMOVAR, Institut Polytechnique de Paris
	Data-Driven Analysis of PNT Resilience: Insights and Lessons from Jammertest 2024 Vehicular Data: Jaakko Yliaho, Petri Välisuo, Elham Ahmadi, Kannan Selvan, Mahmoud Elsanhoury, School of Technology and Innovations, University of Vaasa; Heidi Kuusniemi, School of Technology and Innovations, University of Vaasa & Finnish Geospatial Research Institute, National Land Survey
	Determining Protection Levels Using Multiple Antennas Under Spoofing Conditions: Juan Blanch, Sherman Lo, Yu-Hsuan Chen, Argyris Kriezis, Todd Walter, Stanford University
	Electromagnetic Interference from Consumer Electronics on GNSS Performance in Smartphones: Mikhael Russo, Dept. of Control and Computer Eng., Politecnico di Torino; Cristian Carallo, Dept. of Control and Computer Eng., Politecnico di Torino; Riccardo Tommasi, Dept. of Control and Computer Eng., Politecnico di Torino; Andrea Nardin, Dept. of Electronics and Telecommunications, Politecnico di Torino
	Jammer Source Localization with Federated Learning: Mariona Jaramillo Civill, Peng Wu, Electrical and Computer Engineering Dept., Northeastern University; Andrea Nardin, Dept. of Electronics & Telecommunications, Politecnico di Torino; Tales Imbiriba, Dept. of Computer Science, University of Massachusetts Boston; Pau Closas, Electrical and Computer Engineering Dept., Northeastern University
	Prototyping SBAS Message Authentication: Todd Walter, Jason Anderson, Stanford University; Jed Dennis, Tetra Tech
	Range Authentication of Galileo E1 / E5a Signals Using the A-CAS Method on a GNSS HW Receiver: Benedikt Schreiber, Fabio Garzia, Rocío Parra, Himanshu Gupta, Matthias Overbeck, and Alexander Rügamer, Fraunhofer IIS
	Scalable, Occlusion-Aware Geolocation of Ground-Based GNSS Jammers with Networked Smartphones: Glenn Jones, Daniel Broyles, Tim Machin, and Frank van Graas, Air Force Institute of Technology
	Self-Supervised Federated GNSS Spoofing Detection with Opportunistic Data: Wenjie Liu and Panos Papadimitratos, Networked Systems Security Group, KTH Royal Institute of Technology
	Towards Faster Interference Classification: LSTM-Based Approach with Spectrogram: Iman Ebrahimi Mehr, Politecnico di Torino; Gianfranco Caputo, Maurizio Fantino, Dario Salza, Fondazione LINKS; Fabio Dovis, Politecnico di Torino
	Towards Robust Collaborative DGNSS in the Presence of Byzantine Attacks: Helena Calatrava, Electrical and Computer Engineering Dept., Northeastern University; Daniel Medina, Institute of Communications and Navigation, German Aerospace Center (DLR); Pau Closas, Electrical and Computer Engineering Dept., Northeastern University

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