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Time series distances measures to analyze in-air signatures to authenticate users on mobile phones
Citation
Guerra Casanova, Javier and Sánchez Ávila, Carmen and Bailador del Pozo, Gonzalo and Santos Sierra, Alberto de (2011). Time series distances measures to analyze in-air signatures to authenticate users on mobile phones. In: "2011 IEEE International Carnahan Conference on Security Technology (ICCST)", 18/10/2011 - 21/10/2011, Barcelona, España. ISBN 978-1-4577-0902-9. pp. 1-7.
Description
| Title: | Time series distances measures to analyze in-air signatures to authenticate users on mobile phones |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | 2011 IEEE International Carnahan Conference on Security Technology (ICCST) |
| Event Dates: | 18/10/2011 - 21/10/2011 |
| Event Location: | Barcelona, España |
| Title of Book: | Proceedings of 2011 IEEE International Carnahan Conference on Security Technology (ICCST) |
| Date: | 2011 |
| ISBN: | 978-1-4577-0902-9 |
| Subjects: | |
| Faculty: | Centro de Domótica Integral (CeDInt) (UPM) |
| Department: | Otro |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
Improving the security of mobile phones is one of the crucial points required to assure the personal information and the operations that can be performed from them. This article presents an authentication procedure consisting of verifying the identity of people by making a signature in the air while holding the mobile phone. Different temporal distance algorithms have been proposed and evaluated through a database of 50 people making their signatures in the air and 6 people trying to forge each of them by studying their records. Approaches based on DTW have obtained better EER results than those based on LCS (2.80% against 3.34%). Besides, different signal normalization methods have been evaluated not finding any with better EER results that when no normalization has carried out.
More information
| Item ID: | 13517 |
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| DC Identifier: | https://oa.upm.es/13517/ |
| OAI Identifier: | oai:oa.upm.es:13517 |
| Official URL: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095931 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 17 Oct 2012 10:50 |
| Last Modified: | 21 Apr 2016 12:50 |
