Datasets › FastZIP Data

FastZIP Data (FastZIP Dataset and Code)

Introduced in FastZIP: Faster and More Secure Zero-Interaction Pairing9 Jun 2021 archive 2025-07-28

Structure of code/data folders and how to use them

fastzip-code
  • Contains codebase to generate results in fastzip-results folder
  • Individual notebooks contain comments on their functionality/how to use them
  • FastZIP-Resample.ipynb (optional)
    • Resamples the collected sensor data to desired sampling rates (eliminates the effect of sampling rate instability/drift)
    • Input: fastzip-data/exp-X/raw
    • Output: fastzip-data/exp-X/adv and fastzip-data/exp-X/non-adv
  • FastZIP-Process.ipynb
    • Computes error rates for adversarial and benign devices in different configurations, generates binary fingerprints (see comments inside the notebook)
    • Input: fastzip-data/exp-X/adv and fastzip-data/exp-X/non-adv
    • Output: fastzip-results/logs and fastzip-results/fps
  • FastZIP-Results.ipynb
    • Parses and caches results generated by FastZIP-Process.ipynb notebook to be used for plotting and data analysis
    • Input: fastzip-results/logs and fastzip-results/fps
    • Output: fastzip-results/cache
  • The system paths that are used by all notebooks are set in fastzip-code/const/globconst.py --> adjust them before running the code!
  • Uses folder fastzip-data as input
  • Uses folder fastzip-results as output
  • The above notebooks were run using Python 3.6.5 on Ubuntu 18.04.5 LTS bionic (x64)
  • The list of python packages with versions installed on the test machine is in fastzip-code/python3-packages.txt
fastzip-data
  • Contains sensor data collected from multiple devices in running/stationary cars in various conditions (e.g., in a city, etc.) from three experiments: exp-3, exp-4, and exp-5
  • Each exp-X folder has the same structure:
    • adv - sensor data collected when two cars drive one after another
    • non-adv - sensor when two cars drive the same route but not one after another
    • In adv and non-adv the sensor data is resampled (see description of FastZIP-Resample.ipynb )
    • raw - sensor data collected in the experiment before resampling or split into adv and non-adv
fastzip-min_entropy
  • Contains input and evaluation results for min-entropy estimation of our generated fingerprints using NIST SP 800 90B tests
  • See README inside the folder for more detail
fastzip-results
  • Results in json or json.gz formats generated by FastZIP-Process.ipynb and FastZIP-Results.ipynb
  • See comments in these notebooks for the type of results stored in folders inside fastzip-results
fpake
  • Contains the implementation of the fPAKE protocol as well as input and output for its benchmarking
  • See README inside the folder for more detail

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

Open Data Commons Attribution License v1.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • FastZIP Data

1 variant name, as the archive lists them.

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