Published February 7, 2024 | Version 1.0.0
Dataset Open

Dataset for "Sticky Fingers: Resilience of Satellite Fingerprinting against Jamming Attacks"

  • 1. ROR icon University of Oxford
  • 2. armasuisse Science + Technology

Description

Labelled dataset of Iridium “ring alert” downlink messages, including message headers captured at 25MS/s, with varying amounts of noise added to the signal. Message metadata includes satellite and transmitter identifier, satellite position, timestamp, and estimated noise level. The dataset contains 540066 messages.

This data was originally collected for the paper “Sticky Fingers: Resilience of Satellite Fingerprinting against Jamming Attacks”, and was used to evaluate the resilience of satellite fingerprinting systems against jamming attacks. The work was based upon the previous paper “Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting”, and uses the paper's trained models and code, linked in the “Related Works” section.

The data collection and analysis code (including usage instructions for this dataset) can be found at the following URL: https://github.com/ssloxford/SatIQ-noise

The preprint is available on arXiv at the following URL: https://arxiv.org/abs/2402.05042

When using this dataset, please cite the following paper: “Sticky Fingers: Resilience of Satellite Fingerprinting against Jamming Attacks”. The BibTeX entry is given below:

@inproceedings{smailesSticky2024,
  author = {Smailes, Joshua and Salkield, Edd and K{\"o}hler, Sebastian and Birnbach, Simon and Strohmeier, Martin and Martinovic, Ivan},
  title = {{Sticky Fingers}: {Resilience of Satellite Fingerprinting against Jamming Attacks}},
  year = {2024},
  booktitle = {Workshop on the Security of Space and Satellite Systems (SpaceSec)},
  location = {San Diego, USA},
  series = {SpaceSec '24}
}

Files

Files (48.0 GB)

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Additional details

Related works

Continues
Preprint: 10.48550/arXiv.2305.06947 (DOI)
Is supplement to
Dataset: 10.5281/zenodo.8220494 (DOI)
Dataset: 10.5281/zenodo.8298532 (DOI)
Preprint: 10.48550/arXiv.2402.05042 (DOI)