Dataset (Switzerland) for \"SatIQ: Extensible and Stable Satellite Authentication using Hardware Fingerprinting\"

This dataset contains supplementary data used in the paper “SatIQ: Extensible and Stable Satellite Authentication using Hardware Fingerprinting”. This work demonstrates the authentication of Iridium satellites using high sample rate message headers. Specifically, this is a labelled dataset of Iridium “ring alert” downlink messages, including message headers captured at 25MS/s. This dataset was collected in Switzerland, to supplement the primary data collection in the UK. Message metadata includes satellite and transmitter identifier, satellite position, timestamp, and estimated noise level. The dataset contains 450,000 messages. Data is stored in the TFRecord format for ease of use. Each file is labelled with the date of collection, followed by a sequential file counter. To match the paper, files ending with \"_0\" should be used for testing, and files ending with \"_1\" should be used for validation, with the rest used for training. The data collection and model code can be found at the following URL: https://github.com/ssloxford/SatIQ The preprint is available at the following URL: https://www.cs.ox.ac.uk/files/14805/main.pdf When using this data, please cite the following papers: “SatIQ: Extensible and Stable Satellite Authentication using Hardware Fingerprinting”, and “Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting”. The BibTeX entries are given below: [ SatIQ BibTeX to be provided shortly ] @inproceedings{smailesWatch2023, author = {Smailes, Joshua and K{\\"o}hler, Sebastian and Birnbach, Simon and Strohmeier, Martin and Martinovic, Ivan}, title = {{Watch This Space}: {Securing Satellite Communication through Resilient Transmitter Fingerprinting}}, year = {2023}, publisher = {Association for Computing Machinery}, booktitle = {Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security}, location = {Copenhagen, Denmark}, series = {CCS '23} } Weather data provided by Visual Crossing.