Biometric keystroke term basically represents the classification of the users based on password entering style. The characteristic feature to be extracted in most keystroke authentication systems mainly is the inter-key times so the waiting time between key-press moments is supposed to be unique and hard to mimic. Therefore, the majority of the proposed systems start from computing the times in time-domain and the differences for each key in the password, without any pre-process. The performance of the systems as well as the accuracy of classification methodology merely depend on non-processed data. Given this fact, we present preparation methods starting form data acquisition for better post-processing of biometric keystroke signals.
CITATION STYLE
Alpar, O., & Krejcar, O. (2017). Biometric keystroke signal preprocessing part I: Signalization, digitization and alteration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10350 LNCS, pp. 267–276). Springer Verlag. https://doi.org/10.1007/978-3-319-60042-0_31
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