The Improved Biometric Identification of Keystroke Dynamics Based on Deep Learning Approaches

Łukasz Wyciślik, Przemysław Wylężek, Alina Momot

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DOI: 10.3390/s24123763
Published: 2024-06-09
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s24123763,
  title = {The Improved Biometric Identification of Keystroke Dynamics Based on Deep Learning Approaches},
  author = {Łukasz Wyciślik and Przemysław Wylężek and Alina Momot},
  year = {2024},
  journal = {Sensors},
  doi = {10.3390/s24123763},
  url = {https://doi.org/10.3390/s24123763}
}

RIS

TY  - JOUR
TI  - The Improved Biometric Identification of Keystroke Dynamics Based on Deep Learning Approaches
AU  - Łukasz Wyciślik
AU  - Przemysław Wylężek
AU  - Alina Momot
PY  - 2024
JO  - Sensors
DO  - 10.3390/s24123763
UR  - https://doi.org/10.3390/s24123763
ER  -

APA

Wyciślik, Ł., Wylężek, P., & Momot, A. (2024). The Improved Biometric Identification of Keystroke Dynamics Based on Deep Learning Approaches. Sensors. https://doi.org/10.3390/s24123763

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crossref · retrieved 2026-09-24T21:16:35.784Z