When your fitness tracker betrays you: quantifying the predictability of biometric features across contexts
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. I...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Dataset |
| Published: |
University of Oxford
2018
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| _version_ | 1797050497699414016 |
|---|---|
| author | Eberz, S Lovisotto, G |
| author2 | Martinovic, I |
| author_facet | Martinovic, I Eberz, S Lovisotto, G |
| author_sort | Eberz, S |
| collection | OXFORD |
| description | 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}
} |
| first_indexed | 2024-03-06T18:06:03Z |
| format | Dataset |
| id | oxford-uuid:0175c157-2c9b-47d0-aa77-febaf07fca71 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T18:06:03Z |
| publishDate | 2018 |
| publisher | University of Oxford |
| record_format | dspace |
| spelling | oxford-uuid:0175c157-2c9b-47d0-aa77-febaf07fca712022-03-26T08:35:05ZWhen your fitness tracker betrays you: quantifying the predictability of biometric features across contextsDatasethttp://purl.org/coar/resource_type/c_ddb1uuid:0175c157-2c9b-47d0-aa77-febaf07fca71ORA DepositUniversity of Oxford2018Eberz, SLovisotto, GMartinovic, IThis 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} } |
| spellingShingle | Eberz, S Lovisotto, G When your fitness tracker betrays you: quantifying the predictability of biometric features across contexts |
| title | When your fitness tracker betrays you: quantifying the predictability of biometric features across contexts |
| title_full | When your fitness tracker betrays you: quantifying the predictability of biometric features across contexts |
| title_fullStr | When your fitness tracker betrays you: quantifying the predictability of biometric features across contexts |
| title_full_unstemmed | When your fitness tracker betrays you: quantifying the predictability of biometric features across contexts |
| title_short | When your fitness tracker betrays you: quantifying the predictability of biometric features across contexts |
| title_sort | when your fitness tracker betrays you quantifying the predictability of biometric features across contexts |
| work_keys_str_mv | AT eberzs whenyourfitnesstrackerbetraysyouquantifyingthepredictabilityofbiometricfeaturesacrosscontexts AT lovisottog whenyourfitnesstrackerbetraysyouquantifyingthepredictabilityofbiometricfeaturesacrosscontexts |