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A Dynamic Profile Questions Approach to Mitigate Impersonation in Online Examinations

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Author
Ullah, Abrar
Xiao, Hannan
Baker, Trevor
Date
2018-05-31
Acceptance date
2018-05-09
Type
Article
Publisher
Springer
ISSN
1572-9184 (ESSN)
Metadata
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Abstract
Online examinations are an integral component of many online learning environments, which face many security challenges. Collusion is seen as a major security threat to such examinations, when a student invites a third party to impersonate or abet in a test. This work aims to strengthen the authentication of students via the use of dynamic profile questions. The study reported in this paper involved 31 online participants from five countries over a five-week period. The results of usability and security analysis are reported. The dynamic profile questions were more usable than both the text-based and image-based questions (p < 0.01). An impersonation abuse scenario was simulated using email and mobile phone. The impersonation attack via email was not successful, however, students were able to share answers to dynamic profile questions with a third party impersonator in real time, which resulted in 93% correct answers. The sharing of information via phone took place in real time during an online test and the response time of an impersonator was significantly different (p < 0.01) than a student. The study also revealed that a response time factor may be implemented to identify and report impersonation attacks.
Journal/conference proceeding
Journal of Grid Computing;
Citation
Ullah, A., Xiao, H. and Barker, T. Journal of Grid Computing (2018) 'A Dynamic Profile Questions Approach to Mitigate Impersonation in Online Examinations', Journal of Grid Computing, https://doi.org/10.1007/s10723-018-9442-6
URI
http://hdl.handle.net/10369/9637
DOI
https://doi.org/10.1007/s10723-018-9442-6
Description
This article was published in Journal of Grid Computing on 31 May 2018, available open access at https://doi.org/10.1007/s10723-018-9442-6
Rights
http://creativecommons.org/licenses/by/4.0/
Collections
  • School of Technologies Research [151]

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