Session A4: GNSS Security: Interference, Jamming and Spoofing 1


Date: Thursday, January 25, 2024
Time: 8:30 a.m. - 12:15 p.m.
Session Chairs:
Dr. Beatrice Motella
Dr. Ali Broumandan

Abstract titles are listed alphabetically and will be assigned presentation times or alternate presentation status following peer-review of the completed technical papers. The final schedule will be available in December.

A Cost-Efficient RFI Localization Approach to Detect GNSS Jamming and Spoofing : Michael Felux, Valentin Fischer, Sophie Jochems, Okuary Osechas, Manuel Waltert, Luciano Sarperi, Zurich University of Applied Sciences; Martin Strohmeier, Armasuisse
Assessment of Potential System Interference Through Radio Frequency Compatibility Analysis on Existing GNSS Frequencies by Emerging LEO Constellations : Himanshu Sharma Dominik Doetterboeck Thomas Pany, Universität der Bundeswehr münchen(ISTA) Invited Paper
Charactering Receiver Clocks for the Detection and Identification of Inauthentic GNSS Signals : Zhen Zhu, East Carolina University
Combinatorial Watermarking for WAAS Signal Authentication : Jason Anderson, Sherman Lo, Todd Walter, Stanford University
Demonstration of Single-Satellite GNSS Spoofer Geolocation : Zachary Clements, University of Texas at Austin; Iain Goodridge, Spire Global; Todd E. Humphreys, University of Texas at Austin Invited Paper
Detecting and Localizing Space Based Interference on GNSS Signals using Machine Learning : Akshata Patil, R. Eric Phelts, Todd Walter, Stanford University; Steffen Thoelert, German Aerospace Center (DLR)
GASx: Explainable Artificial Intelligence for Detecting GPS Spoofing Attacks : Zhengyang Fan, Xin Tian, Sixiao Wei, Dan Shen, Genshe Chen, Intelligent Fusion Technology, Inc.; Khanh Pham and Erik Blasch, Air Force Research Lab
GNSS Signal Disturbance Detection and Classification Based on LEO Satellite Measurements : Kahn-Bao Wu, Jade Morton, Hyeyeon Chang, Tim Dittmann, University of Colorado Boulder
Identification of Authentic and Simulated GNSS Signals in Time-Differenced Carrier Phase Measurements: A Controlled Experiment : Zhen Zhu, East Carolina University
Identifying Low-Cost GNSS Monitors Metrics for Robust RFI Detection : Anargyros Kriezis, Yu-Hsuan Chen, Sherman Lo, Todd Walter, Stanford University
Identifying the Source of October 2022 Texas Jamming Incident Using ADS-B Data with an Improvement in the Model Confidence : Zixi Liu, Juan Blanch, Sherman Lo, Todd Walter, Stanford University
Increasing OSNMA Performance with Galileo I/NAV Improvements: Tests in Degraded Reception Conditions : Sophie Damy, Luca Cucchi, Beatrice Motella, Matteo Paonni, Joint Research Centre, European Commission
Investigation of the Effectiveness of Defenses against the Forward Estimation Attack on Galileo OSNMA : Cillian O'Driscoll, Independent Consultant; Jon Winkel, Independent Consultant; Ignacio Fernandez Hernandez, European Commission
Radio SLAM Navigation with Terrestrial Signals of Opportunity in a GPS-Jammed Environment : Zak (Zaher) M. Kassas, The Ohio State University; and Chiawei Lee, US Air Force Invited Paper
Strengthening the NavIC Receiver by Intentional Interference Rectification (SNRIIR): A Robust Jammer Mitigation Algorithm for NavIC Systems : Priyanka Anandkumar Modi and Shweta N. Shah, SVNIT, Surat
Synchronized Spoofing Attack Detection Using Galileo OSNMA and an Antenna array : Markel Arizabaleta-Diez, Toms Dorins, Michai-Adrian Schipor, Thomas Pany, Universität der Bundeswehr München
UAV-Based Interferer Localization Using Radio-Frequency Power Measurements : Casey Smith, Haoming Yan, Osama Abdul Hafez, Mathieu Joerger, Virginia Tech
On-Demand Presentations
Pre-recorded presentations will become available for viewing by registered attendees on Tuesday, January 23.
  Extending RAIM with a Gaussian Mixture of Opportunistic Information : Wenjie Liu and Panos Papadimitratos, Networked Systems Security Group, KTH Royal Institute of Technology
  Joint Feature Construction for Spoofing Detection Based on XGBoost and Logistic Regression : Zhang Shuai, Sun Chao, Bai Lu, Feng Wenquan, He Ying Zhe, Beihang University
  NovAtel’s Jamming and Spoofing Detection and Classification Performance During the Norwegian Jammer Test 2023 : Ali Broumandan, Ali Pirsiavash, Isabelle Tremblay, Sandy Kennedy, NovAtel-Hexagon
  RPM-KNN Based GNSS Anti-Spoofing and Anti-Jamming Method : Min He, Hong Li, Hao Wang, Feifan Zhou, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University

12:15 p.m. – 1:45 p.m. Awards Luncheon - Late arrivals will not be served after 12:30 p.m.