A Novel Unsupervised AI/ML based proctored system

Gaikwad, Vaibhav Ratan (2022) A Novel Unsupervised AI/ML based proctored system. Masters thesis, Dublin, National College of Ireland.

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Abstract

COVID 19 pandemic has huge impact on all the sectors. But the education sector has been impacted very badly than any other sectors. As all colleges and universities are closed down due to this pandemic, to keep students’ academic safe, universities and colleges moved their examination online which was the big challenge in terms of security. To get rid of this issue they started using proctored online examination system but the problem with this system was to maintain and detect the misconducts which they were unable to do. Even these proctored systems need supervisor to be present at the time of examination to monitor the activities of the students. So, to solve this problem A Novel Unsupervised Proctored system is implemented which doesn’t need any supervisor to be present at the time of examination as this system is capable of detecting cheating activities or object used for cheating without any human monitoring. This system logs all the misconducts which can be verified by the supervisor post exam.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Tamara Malone
Date Deposited:	19 Dec 2022 15:56
Last Modified:	07 Mar 2023 17:24
URI:	https://norma.ncirl.ie/id/eprint/6001

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