Tuni2025 Datasets for GNSS - GPS Spoofing

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.