Dealing with different languages and old profiles in keystroke analysis of free text
AI* IA 2005: Advances in Artificial Intelligence: 9th Congress of the Italian …, 2005•Springer
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.
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.
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.
Springer
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