Dataset
Common evaluation pitfalls in touch-based authentication systems
- Documentation:
- This dataset contains the data collected and used in the paper “Common Evaluation Pitfalls in Touch-Based Authentication Systems”. The dataset consists of touchscreen interactions and accelerometer + gyroscope data gathered from iPhone devices. The data was collected remotely through Amazon Mechanical Turk and participants were required to do multiple repetitions of two tasks every day for up to 31 days. In the paper, we use this data to outline evaluation pitfalls in touch-based authentication systems. In total, we collected data from 470 users amounting to 6,017 unique sessions and 1,166,092 unique swipes. All participants included gave consent for sharing their data. The “table.zip” folder contains .csv files with information about the participants such as age, gender, location, etc. Furthermore, it provides details about when the experiments were performed and their resulting filenames. The “data_files.zip” folder contains all the interaction, accelerometer, and gyroscope data in an organized folder structure. Top-level folders represent unique user IDs and contain a list of folders for each daily session. Each daily session folder has a “scroll” (social media task) and “swipe” (image gallery task) folders which contain each repetition done by the user. Each repetition folder, then, hosts the accelerometer, gyroscope, and touch data. The “features.zip” folder contains a single .csv file with extracted features from the data in “data_files.zip” and can be immediately used for touch-based authentication experiments.
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- Files:
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(Version of record, zip, 200.9MB, Terms of use)
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(Version of record, zip, 4.7MB, Terms of use)
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(Version of record, zip, 8.6GB, Terms of use)
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Authors/Creators
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- http://dx.doi.org/10.13039/501100000266
- Funding agency for:
- Turner, H
- Georgiev, M
- Lovisotto, G
- Grant:
- EP/P00881X/1
- EP/N509711/1
- Publisher:
- University of Oxford
- Publication date:
- 2021
- Language:
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English
- Keywords:
- Subjects:
- Pubs id:
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1480632
- Local pid:
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pubs:1480632
- Deposit date:
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2021-05-10
- ARK identifier:
Terms of use
- Copyright date:
- 2021
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