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Score Normalization for Keystroke Dynamics Biometrics

Author
Morales Moreno, Aythamiuntranslated; Luna García, Elenauntranslated; Fiérrez Aguilar, Juliánuntranslated; Ortega García, Javieruntranslated
Entity
UAM. Departamento de Tecnología Electrónica y de las Comunicaciones
Publisher
Institute of Electrical and Electronics Engineers Inc.
Date
2015
Citation
10.1109/CCST.2015.7389686
2015 International Carnahan Conference on Security Technology (ICCST). IEEE, 2015. 223 - 228
 
 
 
ISSN
1071-6572
ISBN
978-1-4799-8691-0
DOI
10.1109/CCST.2015.7389686
Funded by
A.M. is supported by a post-doctoral Juan de la Cierva contract by the Spanish MECD (JCI-2012-12357). This work has been partially supported by projects: Bio-Shield (TEC2012-34881) from Spanish MINECO, BEAT (FP7-SEC-284989) from EU, CECABANK and Cátedra UAM Telefónica.
Project
Gobierno de España. TEC2012-34881; info:eu-repo/grantAgreement/EC/FP7/284989
Editor's Version
http://dx.doi.org/10.1109/CCST.2015.7389686
Subjects
Forensics; Handwritten document analysis; Hyperspectral analysis; Ink identification; Pen verifier; Telecomunicaciones
URI
http://hdl.handle.net/10486/674891
Note
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. A. Morales, E. Luna-Garcia, J. Fierrez and J. Ortega-Garcia, "Score normalization for keystroke dynamics biometrics," Security Technology (ICCST), 2015 International Carnahan Conference on, Taipei, 2015, pp. 223-228. doi: 10.1109/CCST.2015.7389686
Rights
© 2015 IEEE

Abstract

This paper analyzes score normalization for keystroke dynamics authentication systems. Previous studies have shown that the performance of behavioral biometric recognition systems (e.g. voice and signature) can be largely improved with score normalization and target-dependent techniques. The main objective of this work is twofold: i) to analyze the effects of different thresholding techniques in 4 different keystroke dynamics recognition systems for real operational scenarios; and ii) to improve the performance of keystroke dynamics on the basis of target-dependent score normalization techniques. The experiments included in this work are worked out over the keystroke pattern of 114 users from two different publicly available databases. The experiments show that there is large room for improvements in keystroke dynamic systems. The results suggest that score normalization techniques can be used to improve the performance of keystroke dynamics systems in more than 20%. These results encourage researchers to explore this research line to further improve the performance of these systems in real operational environments.
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Google™ Scholar:Morales Moreno, Aythami - Luna García, Elena - Fiérrez Aguilar, Julián - Ortega García, Javier

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  • Producción científica en acceso abierto de la UAM [14764]

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