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.
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Gunetti, D., Picardi, C., Ruffo, G. (2005). Dealing with Different Languages and Old Profiles in Keystroke Analysis of Free Text. In: Bandini, S., Manzoni, S. (eds) AI*IA 2005: Advances in Artificial Intelligence. AI*IA 2005. Lecture Notes in Computer Science(), vol 3673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558590_36
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DOI: https://doi.org/10.1007/11558590_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29041-4
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