Abstract
Biometric keystroke authentication methods deal with extracting the key-press times to validate the users considering the uniqueness of password entering style. When the proposed algorithms have no sub-system to check the password itself, the keystroke signal should include the key-codes for better discrimination. On the contrary, if the key-codes are already validated, the signal could be irreversibly manipulated to form a new and unique signal. In general, the key-press and inter-key times are directly used as array, subsequent to extraction without any process. Therefore in this paper we propose several techniques for preprocessing the keystroke signal. The main methods we dealt with are binarization, over-quantization and spectrogram conversion. As a result of these conversions, the new signals somehow exhibit same property and tendency of the original signal, while revealing the hidden features.
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Acknowledgement
This work and the contribution were supported by project “SP/2017 – 2102 Smart Solutions for Ubiquitous Computing Environments” from University of Hradec Kralove.
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Alpar, O., Krejcar, O. (2017). Biometric Keystroke Signal Preprocessing Part II: Manipulation. In: Benferhat, S., Tabia, K., Ali, M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science(), vol 10350. Springer, Cham. https://doi.org/10.1007/978-3-319-60042-0_34
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DOI: https://doi.org/10.1007/978-3-319-60042-0_34
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