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Applications of Keystroke Dynamics Biometrics in Online Learning Environments: A Selective Study

Applications of Keystroke Dynamics Biometrics in Online Learning Environments: A Selective Study

M. Anandhavalli Muniasamy
Copyright: © 2021 |Pages: 25
ISBN13: 9781799880479|ISBN10: 1799880478|EISBN13: 9781799880974
DOI: 10.4018/978-1-7998-8047-9.ch043
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MLA

Muniasamy, M. Anandhavalli. "Applications of Keystroke Dynamics Biometrics in Online Learning Environments: A Selective Study." Research Anthology on Developing Effective Online Learning Courses, edited by Information Resources Management Association, IGI Global, 2021, pp. 880-904. https://doi.org/10.4018/978-1-7998-8047-9.ch043

APA

Muniasamy, M. (2021). Applications of Keystroke Dynamics Biometrics in Online Learning Environments: A Selective Study. In I. Management Association (Ed.), Research Anthology on Developing Effective Online Learning Courses (pp. 880-904). IGI Global. https://doi.org/10.4018/978-1-7998-8047-9.ch043

Chicago

Muniasamy, M. Anandhavalli. "Applications of Keystroke Dynamics Biometrics in Online Learning Environments: A Selective Study." In Research Anthology on Developing Effective Online Learning Courses, edited by Information Resources Management Association, 880-904. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-8047-9.ch043

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Abstract

The biometric authentication in the online learning environment (OLE) is still exploratory and, despite an increase in keystroke dynamics biometrics research, many challenges remain in designing this authentication system due to the fact that it is economical and easily integrated with existing computer security system in OLE. Existing research in keystroke dynamics tends to focus on finding how keystroke dynamics of users can support non-intrusive authentications of users in OLEs. However, there is little evidence that researchers have approached the issue of unauthenticated users to take the role of authenticated users and perform tasks in the OLE with the intent of building models based on the keystroke dynamics of users. In a nutshell, the aim of this chapter is to provide an overview of the existing applications of keystroke dynamics as biometric authentication in the OLE, keystroke dynamics framework being designed for the OLE, advantages and disadvantages of a keystroke dynamics biometrics approach, as well as offering suggestions and possible future research directions.

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