scieee AI-readable full text Open interactive document viewer

Tuni2025 Datasets for GNSS - Galileo Spoofing

Ur Rahman, Syed Muneeb

Publisher
Zenodo
DOI
10.5281/zenodo.17249902
Repository
zenodo.org
Language
en

Abstract

Tuni2025 Datasets for GNSS - Galileo Spoofing Selected Scenarios are a curated subset of high-resolution GNSS spoofing measurement data recorded in a controlled laboratory environment at Tampere University, Finland. The dataset supports research in spoofing detection, RF signal analysis, and GNSS receiver security. Each scenario contains: A raw I/Q measurement file (approx. 30 GB, interleaved 32-bit float format) A scenario-specific README file documenting signal setup, spoofing conditions, and usage notes This release includes 8 Galileo E1 signal scenarios, covering both spoofed and authentic (clear-sky) cases, true spoofer position attacks, and varying numbers of spoofers. The data was collected using a USRP-2945R software-defined radio front-end at 50 MSps sampling rate, with spoofing signals generated using a Spectracom GSG-6 GNSS simulator where applicable. 📁 Included Scenarios C-1 Galileo Static No Multipath True Position – Clear-sky (no spoofers) - Version-v1SS-1 Galileo Static No Multipath True Position – 1 Spoofer - Version-v2SS-3 Galileo Static No Multipath True Position – 3 Spoofers - Version-v3SS-5 Galileo Static No Multipath True Position – 5 Spoofers - Version-v11C-3 Galileo Static No Multipath True Position – Clear-sky (no spoofers) - Version-v13SS-11 Galileo Static Multipath True Position – 1 Spoofer - Version-v7SS-12 Galileo Static Multipath True Position – 2 Spoofers - Version-v8SS-13 Galileo Static Multipath True Position – 4 Spoofers - Version-v9 🔬 Intended Use This dataset is intended for use in: GNSS spoofing detection research and algorithm development RF fingerprinting and signal classification GNSS receiver performance benchmarking Machine learning and statistical analysis of spoofed GNSS signals 🛰️ Signal Type Galileo E1 only 🛠️ Equipment Used USRP-2945R software-defined radio front-end Spectracom GSG-6 GNSS signal simulator (used in spoofing scenarios only) 📂 File Format .bin: Raw I/Q measurement (interleaved 32-bit float) .pdf: Scenario-specific README file 📚 Citation If using this dataset, please cite this: 🔄 Additional Data Other scenarios and dataset extensions (e.g., multipath, dynamic spoofing, false position) may be provided upon request by the authors.

Full text

TUNI Luottamuksellinen - Confidential (3Y) Tuni2025 GNSS Spoofing Dataset Scenario: Galileo Clear Sky Static True Position (C-3) 1. Overview This dataset is part of the Tuni2025 GNSS Spoofing Dataset Collection, recorded in a controlled laboratory environment at Tampere University, Finland. This scenario represents a Galileo-only static clear-sky environment, no spoofers, and authentic GNSS signals. It serves as a reference measurement for evaluating the effect of multipath in other spoofing scenarios. The dataset includes: • Raw I/Q measurement file recorded via USRP software-defined radio (SDR) • Readme file • FGI GSRX configuration file for processing Galileo measurements 2. Measurement and Scenario Details Parameter Description Measurement Date 25-01-2025 Measurement Time 17:23 (local time) Scenario Type Galileo Static, True Position, No Spoofers Spoofers Present None Signals Present Galileo E1 Multipath Condition No Measurement Device USRP-2945R SDR front-end Signal Generator None (authentic signals only) File Format Raw I/Q data (interleaved 32-bit float, .bin format) Sampling Frequency 50 MSps TUNI Luottamuksellinen - Confidential (3Y) 3. File(s) Included • clearsky_signal_C-3.bin (Approx. 30 GB) Contains raw I/Q GNSS signal recording of Galileo satellites under static, multipath conditions with no spoofers. • README.pdf Provides metadata and measurement description for the scenario. • default_param_GalileoE1_Chapter4.txt FGI GSRX configuration file for processing Galileo measurements 4. Usage Notes • Intended for multipath analysis, spoofing detection benchmarking, and GNSS receiver performance evaluation under authentic signal conditions. • This scenario contains no spoofing or simulator-generated signals. 5. Citation If you use this dataset, please cite this: 6. License CC BY 4.0 — You are free to use, share, and adapt the data with proper attribution.