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http://hdl.handle.net/10609/118507
Title: | Anàlisi de robustesa basada en la identificació de patrons de teclat |
Author: | Muñoz Bernaus, Roger |
Tutor: | Baró, Xavier |
Abstract: | With the rise of e-learning systems, the need to guarantee the identity of the students in these platforms appears. This identification can be done using biometric systems, for instance, analysing the keystroke patterns. This article presents the implementation of two free text keystroke pattern models: a basic model based on a Gaussian, and a second model based on Gaussian mixtures. In order to evaluate these models, their performance is compared with an existent commercial product. Finally, we perform an attack on the commercial system by generating artificial data with the Gaussian mixture model. |
Keywords: | biometric user identification Gaussian mixture models trading system attack keystroke dynamics |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 30-Jun-2020 |
Publication license: | http://creativecommons.org/licenses/by-nc-sa/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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rmunozberTFM0620memoria.pdf | Memoria del TFM | 564,17 kB | Adobe PDF | View/Open |
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