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

Keywords: Biometrics, Identity verification, Keystroke dynamics, Virtual Education

Abstract

Virtual 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.

Author Biographies

Daniel Escobar-Grisales*, Universidad de Antioquia, Colombia

MSc. in Electronics and Telecomunications Engineering, Faculty of Engineering. Universidad de Antioquia, Medellín-Colombia, daniel.esobar@udea.edu.co

Juan. C. Vásquez-Correa , Friedrih-Alexander-Universität, Erlangen-Nürnberg- Germany

MSc. in Telecommunications engineering, Faculty of Engineering, Universidad de Antioquia, Medellín, Colombia; Pattern, Recognition Lab. Friedrih-Alexander-Universität, Erlangen-Nürnberg- Germany, Medellín-Colombia, jcamilo.vasquez@udea.edu.co

Jesús F. Vargas-Bonilla, Universidad de Antioquia, Colombia

PhD. in Cibernetcs and Telecommunications, Faculty of Engineering. Universidad de Antioquia, Medellín-Colombia, jesus.vargas@udea.edu.co

Juan Rafael Orozco-Arroyave , Universität, Erlangen-Nürnberg, Germany

PhD. in Computer Science, Faculty of Engineering, Universidad de Antioquia, Medellín, Colombia; Pattern Recognition Lab. Friedrih-Alexander-Universität, Erlangen-Nürnberg- Germany, Medellín-Colombia, rafael.orozco@udea.edu.co

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How to Cite
Escobar Grisales, D., Vásquez-Correa , J. C., Vargas-Bonilla, J. F., & Orozco-Arroyave , J. R. (2020). Identity Verification in Virtual Education Using Biometric Analysis Based on Keystroke Dynamics . TecnoLógicas, 23(47), 197-211. https://doi.org/10.22430/22565337.1475

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Published
2020-01-30
Section
Research Papers