Biometric keystroke signal preprocessing part I: Signalization, digitization and alteration

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Abstract

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.

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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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