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Session A2: GNSS Security: Interference, Jamming, and Spoofing 1

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Date: Wednesday, January 29, 2025
Time: 8:30 a.m. - 12:15 p.m.
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Tuesday, January 28.

Session Chairs

Zixi Liu
Stanford University


Dr. Jianming She
The MITRE Corporation

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

In-Person Presentations
These presentations will be given in-person at the conference. Presenters will provide a pre-recorded presentation for on-demand viewing by virtual attendees.
A Particle Filter Based Sensor Fusion Approach for GNSS Spoofing Detection Incorporating Ground Vehicle Navigation Constraints
Muhammad Sami Irfan, Sagar Dasgupta, and Mizanur Rahman, The University of Alabama
Authentication of GPS Modernized Signals Using TESLA Chimera
Michael H. Cole, James T. Gillis, Rachel Allen, Albert H. Hayden, The Aerospace Corporation
Combining ADS-B, LCM and DPA to Detect and Locate the Interference in a Massive GNSS Jammer Test
Yu-Hsuan Chen, Zixi Liu, Argyris Kriezis, Sherman Lo and Todd Walter, Stanford University
Consumer INS Coupled with Carrier Phase Measurements for GNSS Spoofing Detection
Tore Johansson, Marco Spanghero, and Panos Papadimitratos, KTH Royal Institute of Technology
Detection and Identification of Inauthentic Signals Based on the Frequency Drift of the GNSS Receiver Clock
Zhen Zhu, East Carolina University; Sanjeev Gunawardena, Air Force Institute of Technology; Eric Vinande, and Jason Pontious, Air Force Research Laboratory
Evaluation of NovAtel's Jamming and Spoofing Detection and Mitigation Capabilities During Jammertest 2024
Ali Broumandan, Ali Pirsiavash, Isabelle Tremblay, and Sandy Kennedy, Hexagon Autonomy & Positioning Division
Navigating Interference - Examining In-Flight GNSS Spoofing Patterns and Signal Disruptions
Michael Felux, Sophie Jochems, Valentin Fischer, Benoit Figuet, Raphael Monstein, ZHAW - Zurich University of Appl. Sci.
Observations of GNSS Spoofing in Russia in 2023-2024
Sherman Lo, Zixi Liu, Lyla Ibrahim, Yu Hsuan Chen, Todd Walter, Stanford University
Performance of Optimal INS Monitor Against Live Spoofing
Birendra Kujur, Samer Khanafseh, Boris Pervan, Illinois Institute of Technology
Real-Time Multi-Constellation Navigation Message Authentication for Enhanced GNSS Security
Xifeng Wen, Tor Egil Melgård, Roel De Vries, Erik Vigen, Fugro
Real-World Spoofing Characterization Using Low-Cost Receivers
Argyris Kriezis, Yu-Hsuan Chen, Stanford University; Dennis Akos, University of Colorado Boulder; Sherman Lo, and Todd Walter, Stanford University
Towards a Trustworthy Position Solution; OSNMA Authentication and the use of Multi-Constellations
Annemarie van Zwol and Heiko Engwerda, Royal Netherlands Aerospace Centre
On-Demand Presentations
Pre-recorded presentations will become available for viewing by registered attendees on Tuesday, January 28.
  A Low Complexity Implementation of the MLE-Based GNSS Anti-Spoofing Method
Xiaoxuan Xu, Hong Li, Mingquan Lu, Tsinghua University
  A New Method for AOA Estimation and TDOA/AOA Joint Localization of GNSS Spoofer
Mingxiu Chen, Yanhong Kou, Yiwei Wang, and Chun Wang, Beihang University
  Datasets for Evaluating Anti-Spoofing Algorithms in GPS/INS Integrated Navigation
Yimin Guo,Yanhong Kou,Yiwei Wang, Yun Zhao, Beihang University
  Evaluation for BDSBAS Single-Frequency Service Assisted by Data Authentication
Xiaoshuang Li, Kun Fang, Hongwen Wang, Shujing Wang, Zhipeng Wang, Beihang University
  Same Frequency Interference and Suppression of GBAS VDB and VOR/ILS Based on the Fast ICA Algorithm
Ziqi He, Hongxia Wang, Kun Fang, Beihang University; Xiao Li, China Satellite Network Group Co., Ltd; Zhipeng Wang, Beihang University
  Spoofing Data Augmentation Based on GAN
Lei Xu, Chao Sun, Lu Bai, Shuai Zhang, Yanhong Kou, Ying Xu, Beihang University

12:15 p.m.–1:15 p.m. Attendee Lunch Buffet Served in Exhibit Hall

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