Keystroke Dynamics: A Behavioral Biometric Model for User Authentication in Online Exams

Keystroke Dynamics: A Behavioral Biometric Model for User Authentication in Online Exams

Senthil Kumar A. V. (Hindusthan College of Arts and Science, India) and Rathi M. (Dr. N. G. P. Arts and Science College, India)
Copyright: © 2019 |Pages: 25
DOI: 10.4018/978-1-5225-7724-9.ch008
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Online learning has entirely transformed the way of learning by the students. Online tests and quizzes play an important role in online learning, which provides accurate results to the instructor. But, the learners use different methods to cheat during online exams such as opening a browser to search for the answer or a document in the local drive, etc. They are not authenticated once they login and progress to attend the online exams. Different techniques are used in authenticating the students taking up the online exams such as audio or video surveillance systems, fingerprint, or iris recognition, etc. Keystroke dynamics-based authentication (KDA) method, a behavioral biometric-based authentication model has gained focus in authenticating the users. This chapter proposes the usage of KDA as a solution to user authentication in online exams and presents a detailed review on the processes of KDA, the factors that affect the performance of KDA, their applications in different domains, and a few keystroke dynamics-based datasets to authenticate the users during online exams.
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Biometric Technologies: An Overview

The following section discusses on the various biometric technologies available for authentication which are broadly categorized based on their physical characteristics or behavioural characteristics.

Physiological Biometrics

Physiological biometrics are those features that describe ‘who the user is’ depending on their physical attributes such as fingerprints, face, iris, retina scanning, hand geometry etc.

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