Biometric Identification Based on Keystroke Dynamics

The purpose of the paper is to study how changes in neural network architecture and its hyperparameters affect the results of biometric identification based on keystroke dynamics. The publicly available dataset of keystrokes was used, and the models with different parameters were trained using this...

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Detalles Bibliográficos
Autores principales: Kasprowski, Pawel, Borowska, Zaneta, Harezlak, Katarzyna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105156/
https://www.ncbi.nlm.nih.gov/pubmed/35590848
http://dx.doi.org/10.3390/s22093158

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105156/
https://www.ncbi.nlm.nih.gov/pubmed/35590848
http://dx.doi.org/10.3390/s22093158

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