Abstract
Typing rhythms are one of the rawest form of data stemming from the interaction between humans and computers. When properly analyzed, they may allow to ascertain personal identity, In this paper we provide experimental evidence that the typing dynamics of free text can be used for user identification and authentication even when typing samples are written in different languages, As a consequence, we argue that keystroke analysis can be useful even when people may use different languages, in those areas where ascertaining personal identity is important or crucial, such as within Computer Security. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Gunetti, D., Picardi, C., & Ruffo, G. (2005). Keystroke analysis of different languages: A case study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3646 LNCS, pp. 133–144). Springer Verlag. https://doi.org/10.1007/11552253_13
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