Secured E-Examination System with Continuous Authentication to Prevent Cheating

Authors

  • Keerrthanan Amkamaran Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Intan Farahana Kasmin Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Zety Marlia Zainal Abidin Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Hemalata Vasudavan Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia

Keywords:

Continuous Authentication, Cheating, E-Examination, FaceRecognition, Proctor

Abstract

The growth of technologies over the years has been tremendous as it is significant to improve and adapt the education system based on the new norm. Besides, EExamination is getting popular among higher-education institutes in new norm. As a result, standard cheating detection approaches will no longer be completely effective in preventing cheating during exams. Therefore, this research proposes a solution to prevent students from cheating in their examination through the help of Artificial Intelligence and Continuous Authentication. To provide scientifically sound results, a sampling size of 200 respondents which consist of Lecturers and Proctors will be taking part in a survey. They will be sorted out by using the stratified sampling method. As a conclusion, this research could convince many higher education institutes to switch their physical examination to E-Examination which also avoid the possibility of spreading the infection of COVID-19

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Published

2023-06-17

How to Cite

Amkamaran, K. ., Kasmin, I. F., Zainal Abidin, Z. M. ., & Vasudavan, H. . (2023). Secured E-Examination System with Continuous Authentication to Prevent Cheating . International Journal of Data Science and Advanced Analytics, 4, 97–104. Retrieved from http://ijdsaa.com/index.php/welcome/article/view/149

Issue

Vol. 4 (2022): Special Issue 1

Section

Articles

License

Copyright (c) 2022 Keerrthanan Amkamaran, Intan Farahana Kasmin, Zety Marlia Zainal Abidin, Hemalata Vasudavan

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
International Journal of Data Science and Advanced Analytics (IJDSAA) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. This license allows users to copy, distribute and transmit an article, adapt the article as long as the author is attributed and the article is not used for commercial purposes.

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