Web-Based Benchmark for Keystroke Dynamics Biometric Systems: A Statistical AnalysisReport as inadecuate




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1 Equipe Monétique & Biométrie - Laboratoire GREYC - UMR6072 GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen

Abstract : Most keystroke dynamics studies have been evaluated using a specific kind of dataset in which users type an imposed login and password. Moreover, these studies are optimistics since most of them use different acquisition protocols, private datasets, controlled environment, etc. In order to enhance the accuracy of keystroke dynamics- performance, the main contribution of this paper is twofold. First, we provide a new kind of dataset in which users have typed both an imposed and a chosen pairs of logins and passwords. In addition, the keystroke dynamics samples are collected in a web-based uncontrolled environment OS, keyboards, browser, etc

Such kind of dataset is important since it provides us more realistic results of keystroke dynamics- performance in comparison to the literature controlled environment, etc

Second, we present a statistical analysis of well known assertions such as the relationship between performance and password size, impact of fusion schemes on system overall performance, and others such as the relationship between performance and entropy. We put into obviousness in this paper some new results on keystroke dynamics in realistic conditions.





Author: Romain Giot - Mohamad El-Abed - Christophe Rosenberger -

Source: https://hal.archives-ouvertes.fr/



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