Improving versatility in keystroke dynamic systems

Autores
Calot, Enrique; Rodríguez, Juan Manuel
Año de publicación
2013
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Keystroke dynamics is a biometric technique to identify users based on analyzing habitual rhythm patterns in the way they type. In order to implement this technique di erent algorithms to di erentiate an impostor from an authorized user were suggested. One of the most pre- cise method is the Mahalanobis distance which requires to calculate the covariance matrix with all that this implies: time processing and track each individual keystroke event. The hypothesis of this research was to nd an algorithm as good as Mahalanobis which does not require track every single keystroke event and improve, where possible, the process- ing time. To make an experimental comparison between Mahalanobis distance and euclidean normalized, a distance which only requires calcu- late the variance, an already studied dataset was used. The results were that use normalized euclidean distance is almost as good as Mahalanobis distance even in some cases could work better.
WSI - II Workshop de seguridad informática
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
keystroke dynamics
web based authentication
mahalanobis distance
biometrics
typing biometrics
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/32428

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network_name_str SEDICI (UNLP)
spelling Improving versatility in keystroke dynamic systemsCalot, EnriqueRodríguez, Juan ManuelCiencias Informáticaskeystroke dynamicsweb based authenticationmahalanobis distancebiometricstyping biometricsKeystroke dynamics is a biometric technique to identify users based on analyzing habitual rhythm patterns in the way they type. In order to implement this technique di erent algorithms to di erentiate an impostor from an authorized user were suggested. One of the most pre- cise method is the Mahalanobis distance which requires to calculate the covariance matrix with all that this implies: time processing and track each individual keystroke event. The hypothesis of this research was to nd an algorithm as good as Mahalanobis which does not require track every single keystroke event and improve, where possible, the process- ing time. To make an experimental comparison between Mahalanobis distance and euclidean normalized, a distance which only requires calcu- late the variance, an already studied dataset was used. The results were that use normalized euclidean distance is almost as good as Mahalanobis distance even in some cases could work better.WSI - II Workshop de seguridad informáticaRed de Universidades con Carreras en Informática (RedUNCI)2013-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/32428spainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:39:51Zoai:sedici.unlp.edu.ar:10915/32428Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:39:51.998SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Improving versatility in keystroke dynamic systems
title Improving versatility in keystroke dynamic systems
spellingShingle Improving versatility in keystroke dynamic systems
Calot, Enrique
Ciencias Informáticas
keystroke dynamics
web based authentication
mahalanobis distance
biometrics
typing biometrics
title_short Improving versatility in keystroke dynamic systems
title_full Improving versatility in keystroke dynamic systems
title_fullStr Improving versatility in keystroke dynamic systems
title_full_unstemmed Improving versatility in keystroke dynamic systems
title_sort Improving versatility in keystroke dynamic systems
dc.creator.none.fl_str_mv Calot, Enrique
Rodríguez, Juan Manuel
author Calot, Enrique
author_facet Calot, Enrique
Rodríguez, Juan Manuel
author_role author
author2 Rodríguez, Juan Manuel
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
keystroke dynamics
web based authentication
mahalanobis distance
biometrics
typing biometrics
topic Ciencias Informáticas
keystroke dynamics
web based authentication
mahalanobis distance
biometrics
typing biometrics
dc.description.none.fl_txt_mv Keystroke dynamics is a biometric technique to identify users based on analyzing habitual rhythm patterns in the way they type. In order to implement this technique di erent algorithms to di erentiate an impostor from an authorized user were suggested. One of the most pre- cise method is the Mahalanobis distance which requires to calculate the covariance matrix with all that this implies: time processing and track each individual keystroke event. The hypothesis of this research was to nd an algorithm as good as Mahalanobis which does not require track every single keystroke event and improve, where possible, the process- ing time. To make an experimental comparison between Mahalanobis distance and euclidean normalized, a distance which only requires calcu- late the variance, an already studied dataset was used. The results were that use normalized euclidean distance is almost as good as Mahalanobis distance even in some cases could work better.
WSI - II Workshop de seguridad informática
Red de Universidades con Carreras en Informática (RedUNCI)
description Keystroke dynamics is a biometric technique to identify users based on analyzing habitual rhythm patterns in the way they type. In order to implement this technique di erent algorithms to di erentiate an impostor from an authorized user were suggested. One of the most pre- cise method is the Mahalanobis distance which requires to calculate the covariance matrix with all that this implies: time processing and track each individual keystroke event. The hypothesis of this research was to nd an algorithm as good as Mahalanobis which does not require track every single keystroke event and improve, where possible, the process- ing time. To make an experimental comparison between Mahalanobis distance and euclidean normalized, a distance which only requires calcu- late the variance, an already studied dataset was used. The results were that use normalized euclidean distance is almost as good as Mahalanobis distance even in some cases could work better.
publishDate 2013
dc.date.none.fl_str_mv 2013-10
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