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A Novel Mobilephone Application Authentication Approach based on Accelerometer and Gyroscope Data

Author:
Li, Guoqiang [DBLP] ;
Bours, Patrick [DBLP]
Abstract
The advent of mobile phones have changed our daily life. We are heavily relying on various applications installed on mobilephones to communicate with other, to share personal information with them, and to access our bank account, etc. However, the security measurement in terms of accessing these applications is either omitted or user-hostile because of the burden of memorizing the PIN or password. In order to relieve people from such burden, we explore the possibility of developing a mobilephone application authentication approach by analyzing the accelerometer and gyroscope data collected from the first few seconds when the user opens an application. By evaluating several proposed authentication approaches on a dataset collected from a real-life scenario, we achieve the best EER at 22.72% by only using the data collected from first 3 seconds. We think integrating the proposed non-intrusive authentication approach into the mobilephone application as an alternative for PIN/password can provide a more user-friendly authentication mechanism.
  • Citation
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Li, G. & Bours, P., (2018). A Novel Mobilephone Application Authentication Approach based on Accelerometer and Gyroscope Data. 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/Li2018,
author = {Li, Guoqiang AND Bours, Patrick},
title = {A Novel Mobilephone Application Authentication Approach based on Accelerometer and Gyroscope Data},
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: 1617-5469
xmlui.MetaDataDisplay.field.date: 2018
Language: en (en)
Content Type: Text/Conference Paper

Keywords

  • Behavioural biometrics
  • accelerometer
  • gyroscope
  • mobilephone
  • authentication.
Collections
  • P282 - BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group [32]

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