A robustness verification system for mobile phone authentication based on gestures using Linear Discriminant Analysis

Guerra Casanova, Javier and Sánchez Ávila, Carmen and Santos Sierra, Alberto de and Bailador del Pozo, Gonzalo (2011). A robustness verification system for mobile phone authentication based on gestures using Linear Discriminant Analysis. In: "2011 Third World Congress on Nature and Biologically Inspired Computing (NaBIC)", 19/10/2011 - 21/10/2011, Salamanca, España. ISBN 978-1-4577-1122-0.

Description

Title: A robustness verification system for mobile phone authentication based on gestures using Linear Discriminant Analysis
Author/s:
  • Guerra Casanova, Javier
  • Sánchez Ávila, Carmen
  • Santos Sierra, Alberto de
  • Bailador del Pozo, Gonzalo
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2011 Third World Congress on Nature and Biologically Inspired Computing (NaBIC)
Event Dates: 19/10/2011 - 21/10/2011
Event Location: Salamanca, España
Title of Book: Proceedings of 2011 Third World Congress on Nature and Biologically Inspired Computing (NaBIC)
Date: 2011
ISBN: 978-1-4577-1122-0
Subjects:
Faculty: Centro de Domótica Integral (CeDInt) (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This article evaluates an authentication technique for mobiles based on gestures. Users create a remindful identifying gesture to be considered as their in-air signature. This work analyzes a database of 120 gestures of different vulnerability, obtaining an Equal Error Rate (EER) of 9.19% when robustness of gestures is not verified. Most of the errors in this EER come from very simple and easily forgeable gestures that should be discarded at enrollment phase. Therefore, an in-air signature robustness verification system using Linear Discriminant Analysis is proposed to infer automatically whether the gesture is secure or not. Different configurations have been tested obtaining a lowest EER of 4.01% when 45.02% of gestures were discarded, and an optimal compromise of EER of 4.82% when 19.19% of gestures were automatically rejected.

More information

Item ID: 13516
DC Identifier: http://oa.upm.es/13516/
OAI Identifier: oai:oa.upm.es:13516
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6089452
Deposited by: Memoria Investigacion
Deposited on: 17 Oct 2012 11:02
Last Modified: 21 Apr 2016 12:50
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