In this paper we show experimentally that typing dynamics of free text provide useful information for user identification and authentication even when a long time has passed since typing profiles of users were formed, and even when users are writing in a language different from the one used to form their profiles. Hence, we argue that keystroke analysis can be an effective aid in different areas where ascertaining user identity is important or crucial, including Computer Security and User Modeling.

Dealing with Different Languages and Old Profiles in Keystroke Analysis of Free Text

PICARDI, Claudia;RUFFO, Giancarlo Francesco
2005-01-01

Abstract

In this paper we show experimentally that typing dynamics of free text provide useful information for user identification and authentication even when a long time has passed since typing profiles of users were formed, and even when users are writing in a language different from the one used to form their profiles. Hence, we argue that keystroke analysis can be an effective aid in different areas where ascertaining user identity is important or crucial, including Computer Security and User Modeling.
2005
9783540290414
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11579/145005
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