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Published May 15, 2025 | Version v10
Dataset Open

Tuni2025 Datasets for GNSS - GPS Spoofing

Description

Tuni2025 Datasets for GNSS - GPS Spoofing 
 
Selected Scenarios is 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 9 GPS 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-5 GPS Static No Multipath True Position – Clear-sky (no spoofers)           - Version-v1
SS-17 GPS Static No Multipath True Position – 1 Spoofer                             - Version-v2
SS-18 GPS Static No Multipath True Position – 2 Spoofers                           - Version-v3
SS-20 GPS Static No Multipath True Position – 4 Spoofers                           - Version-v4
C-7 GPS Static No Multipath True Position – Clear-sky (no spoofers)          - Version-v13
SS-27 GPS Static Multipath True Position – 1 Spoofer                                  - Version-v6
SS-28 GPS Static Multipath True Position – 2 Spoofers                                 - Version-v7
SS-29 GPS Static Multipath True Position – 4 Spoofers                                - Version-v12
SS-33 GPS Delayed Spoofer Injection (All PRNs Spoofed)                           - Version-v10
 
 
🔬 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
 
GPS L1 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.

Files

Readme.pdf

Files (40.0 GB)

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md5:03a3ef01be031c409bf8376c4e1ee355
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Additional details

Funding

Research Council of Finland
LEDSOL 352364
Research Council of Finland
RESILIENT 359846

Dates

Created
2025-04