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When your fitness tracker betrays you: quantifying the predictability of biometric features across contexts

Documentation:
This is the dataset collected for the 2018 IEEE S&P paper "When Your Fitness Tracker Betrays You: Quantifying the Predictability of Biometric Features Across Contexts". We provide .zip files for each individual biometric and a readme file that describes the data format and structure. If you use any of the data, please cite the original paper as follows: @inproceedings{seberz2018, title={When Your Fitness Tracker Betrays You: Quantifying the Predictability of Biometric Features Across Contexts}, author={Eberz, Simon and Lovisotto, Giulio and Patan\`e, Andrea and Kwiatkowska, Marta and Lenders, Vincent and Martinovic, Ivan}, booktitle={Proceedings of the 2018 IEEE Symposium on Security and Privacy}, year={2018}, organization={IEEE} }

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Department:
Computer Science
Role:
Creator
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Department:
Computer Science
Role:
Creator

Contributors

Department:
Computer Science
Role:
Principal Investigator (PI)

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Funding agency for:
Eberz, S
Grant:
EP/M50659X/1

Publisher:
University of Oxford
Publication date:
2018

UUID:
uuid:0175c157-2c9b-47d0-aa77-febaf07fca71
Deposit date:
2018-02-21

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