Keystroke dynamics recognition based on personal data: A comparative experimental evaluation implementing reproducible research

Aythami Morales, Mario Falanga, Julian Fierrez, Carlo Sansone, Javier Ortega-Garcia
2015 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)  
Esta es la versión de autor de la comunicación de congreso publicada en: This is an author produced version of a paper published in: El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription 1 Abstract This work proposes a new benchmark for keystroke dynamics recognition on the basis of fully reproducible research. Instead of traditional authentication approaches based on complex passwords, we propose a novel keystroke
more » ... cognition based on typing patterns from personal data. We present a new database made up with the keystroke patterns of 63 users and 7560 samples. The proposed approach eliminates the necessity to memorize complex passwords (something that we know) by replacing them by personal data (something that we are). The results encourage to further explore this new application scenario and the availability of data and source code represent a new valuable resource for the research community. 1
doi:10.1109/btas.2015.7358772 dblp:conf/btas/MoralesFFSO15 fatcat:hqfdti3gcvaz7cystn7bflt47e