Please use this identifier to cite or link to this item:

http://hdl.handle.net/10609/118507
Title: Anàlisi de robustesa basada en la identificació de patrons de teclat
Author: Muñoz Bernaus, Roger
Director: Xavier Baró Solé
Keywords: Keystroke dynamics, identificació d'usuari biomètrica, atac al sistema comercial, model bàsic una gaussiana, model mixtures gaussianes
Issue Date: 30-Jun-2020
Publisher: Universitat Oberta de Catalunya (UOC)
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.
Language: Catalan
URI: http://hdl.handle.net/10609/118507
Appears in Collections:Bachelor thesis, research projects, etc.

Share:
Export:
Files in This Item:
File Description SizeFormat 
article.pdf562.79 kBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons