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Identity Verification in Virtual Education Using Biometric Analysis Based on Keystroke Dynamics

Verificación de identidad en la educación virtual mediante análisis biométrico basado en la dinámica del tecleo

dc.creatorEscobar Grisales, Daniel
dc.creatorVásquez-Correa , Juan. C.
dc.creatorVargas-Bonilla, Jesús F.
dc.creatorOrozco-Arroyave , Juan Rafael
dc.date2020-01-30
dc.identifierhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1475
dc.identifier10.22430/22565337.1475
dc.descriptionVirtual education has become one of the tools most widely used by students at all educational levels, not just because of its convenience and flexibility, but also because it can expand educational coverage. All these benefits also bring along multiple issues in terms of security and reliability in the evaluation the of student’s knowledge because traditional identity verification strategies, such as the combination of username and password, do not guarantee that the student enrolled in the course really takes the exam. Therefore, a system with a different type of verification strategy should be designed to differentiate valid users from impostors. This study proposes a new verification system based on distances computed among Gaussian Mixture Models created with different writing task. The proposed approach is evaluated in two different modalities namely intrusive verification and non-intrusive verification. The intrusive mode provides a false positive rate of around 16 %, while the non-intrusive mode provides a false positive rate of 12 % In addition, the proposed strategy for non-intrusive verification is compared to a work previously reported in the literature and the results show that our approach reduces the equal error rate in about 24.3 %. The implemented strategy does not need additional hardware; only the computer keyboard is required to complete the user verification, which makes the system attractive, flexible, and practical for virtual education platforms.en-US
dc.descriptionLa educación virtual se ha convertido en una de las herramientas más utilizadas por los estudiantes en todos los niveles educativos, no solo por la comodidad y la flexibilidad, sino también por la posibilidad de ampliar la cobertura educativa en una población. Todos estos beneficios traen consigo múltiples problemas de seguridad y confiabilidad a la hora de evaluar el proceso de aprendizaje del estudiante, ya que las estrategias tradicionales de verificación de identidad, como la combinación de nombre de usuario y contraseña, no garantizan que el estudiante matriculado en el curso realmente realice el examen. Por lo tanto, es necesario diseñar un sistema con otro tipo de estrategia de verificación para diferenciar un usuario válido de un impostor. Este estudio propone un nuevo método de verificación, basado en el cálculo de distancias entre los modelos de mezclas gaussianas creados con diferentes tareas de escritura. El enfoque propuesto es evaluado en dos modalidades diferentes llamadas verificación intrusiva y verificación no intrusiva. El modo intrusivo proporciona una tasa de falsos positivos de 16 %, mientras el modo no intrusivo provee una tasa de falsos positivos de 12 %. Además, la estrategia propuesta para verificación no intrusiva es comparada con un trabajo previamente reportado en la literatura y los resultados muestran que nuestro enfoque reduce la tasa de error en aproximadamente un 24.3 %. La estrategia implementada no necesita hardware adicional, solo es requerido el teclado del computador para realizar la verificación, lo que hace que el sistema sea atractivo y flexible para ser usado en plataformas de educación virtual.es-ES
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dc.languageeng
dc.publisherInstituto Tecnológico Metropolitano (ITM)en-US
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1475/1526
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1475/1600
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1475/1615
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dc.rightsCopyright (c) 2020 TecnoLógicasen-US
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0en-US
dc.sourceTecnoLógicas; Vol. 23 No. 47 (2020); 197-211en-US
dc.sourceTecnoLógicas; Vol. 23 Núm. 47 (2020); 197-211es-ES
dc.source2256-5337
dc.source0123-7799
dc.subjectBiometricsen-US
dc.subjectIdentity verificationen-US
dc.subjectKeystroke dynamicsen-US
dc.subjectVirtual Educationen-US
dc.subjectBiometríaes-ES
dc.subjectdinámica de tecleoes-ES
dc.subjecteducación virtuales-ES
dc.subjectverificación de identidades-ES
dc.titleIdentity Verification in Virtual Education Using Biometric Analysis Based on Keystroke Dynamicsen-US
dc.titleVerificación de identidad en la educación virtual mediante análisis biométrico basado en la dinámica del tecleoes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeResearch Papersen-US
dc.typeArtículos de investigaciónes-ES


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