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Jekyll and Hyde: On The Double-Faced Nature of Smart-Phone Sensor Noise Injection

Author:
Matovu, Richard [DBLP] ;
Serwadda, Abdul [DBLP] ;
Irakiza, David [DBLP] ;
Griswold-Steiner, Isaac [DBLP]
Abstract
To combat privacy attacks that exploit the motion and orientation sensors embedded in mobile devices, a number of recent works have proposed noise injection schemes that degrade the quality of sensor data. Much as these schemes have been shown to thwart the attacks, the impact of noise injection on continuous authentication schemes proposed for mobile and wearable devices has never been studied. In this paper, we empirically tackle this question based on two widely studied continuous authentication applications (i.e., gait and handwriting authentication). Through a series of machine learning and statistical techniques, we show that the thresholds of noise needed to overcome the attacks would significantly degrade the performance of the continuous authentication applications. The paper argues against noise injection as a defense against attacks that exploit motion and orientation sensor data on mobile and wearable devices.
  • Citation
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Matovu, R., Serwadda, A., Irakiza, D. & Griswold-Steiner, I., (2018). Jekyll and Hyde: On The Double-Faced Nature of Smart-Phone Sensor Noise Injection. In: Brömme, A., Busch, C., Dantcheva, A., Rathgeb, C. & Uhl, A. (Hrsg.), BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group. Bonn: Köllen Druck+Verlag GmbH.
@inproceedings{mci/Matovu2018,
author = {Matovu, Richard AND Serwadda, Abdul AND Irakiza, David AND Griswold-Steiner, Isaac},
title = {Jekyll and Hyde: On The Double-Faced Nature of Smart-Phone Sensor Noise Injection},
booktitle = {BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group},
year = {2018},
editor = {Brömme, Arslan AND Busch, Christoph AND Dantcheva, Antitza AND Rathgeb, Christian AND Uhl, Andreas},
publisher = {Köllen Druck+Verlag GmbH},
address = {Bonn}
}
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More Info

ISBN: 978-3-88579-676-4
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2018
Language: en (en)
Content Type: Text/Conference Paper

Keywords

  • continuous authentication
  • gait authentication
  • handwriting authentication
  • wearables and mobile phones.
Collections
  • P282 - BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group [32]

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Diese Digital Library basiert auf DSpace.

 

 


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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.