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.
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Gunetti, D., Picardi, C., Ruffo, G. (2005). Keystroke Analysis of Different Languages: A Case Study. In: Famili, A.F., Kok, J.N., Peña, J.M., Siebes, A., Feelders, A. (eds) Advances in Intelligent Data Analysis VI. IDA 2005. Lecture Notes in Computer Science, vol 3646. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552253_13
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DOI: https://doi.org/10.1007/11552253_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28795-7
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