Abstract
In this paper a few methods used to authenticate users on the basis of their keystroke dynamics have been presented. Two of the methods define distance measures to compare typed texts. The third method examines feature distribution parameters. Some modification of one of the methods has been proposed. The methods have been tested and their performance compared on two data sets. Finally the three methods have been combined to generate another decision rule, which has been also compared with the three original ones.
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© 2011 Springer-Verlag Berlin Heidelberg
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Kolakowska, A. (2011). User Authentication Based on Keystroke Dynamics Analysis. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_68
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DOI: https://doi.org/10.1007/978-3-642-20320-6_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20319-0
Online ISBN: 978-3-642-20320-6
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