Improving versatility in keystroke dynamic systems

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 Mahalan...

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Detalles Bibliográficos
Autores principales: Calot, Enrique, Rodríguez, Juan Manuel
Formato: Objeto de conferencia
Lenguaje:Español
Publicado: 2013
Materias:
Ciencias Informáticas
keystroke dynamics
web based authentication
mahalanobis distance
biometrics
typing biometrics
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/32428
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-32428
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
keystroke dynamics
web based authentication
mahalanobis distance
biometrics
typing biometrics
spellingShingle Ciencias Informáticas
keystroke dynamics
web based authentication
mahalanobis distance
biometrics
typing biometrics
Calot, Enrique
Rodríguez, Juan Manuel
Improving versatility in keystroke dynamic systems
topic_facet Ciencias Informáticas
keystroke dynamics
web based authentication
mahalanobis distance
biometrics
typing biometrics
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.
format Objeto de conferencia
Objeto de conferencia
author Calot, Enrique
Rodríguez, Juan Manuel
author_facet Calot, Enrique
Rodríguez, Juan Manuel
author_sort Calot, Enrique
title Improving versatility in keystroke dynamic systems
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
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/32428
work_keys_str_mv AT calotenrique improvingversatilityinkeystrokedynamicsystems
AT rodriguezjuanmanuel improvingversatilityinkeystrokedynamicsystems
bdutipo_str Repositorios
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