A New Model of Automatic and Continuous Online Exam Monitoring

Student cheating during exams is a widespread phenomenon around the world, regardless of the country's development level. With the expansion of e-learning, exam monitoring becomes more difficult to control. Therefore, real-time monitoring is necessary to secure the student's identity continuously throughout the evaluation period. As a result, we present in this article an online exam management system that provides automatic and continuous monitoring. The implemented solution uses face recognition for a strong student authentication. In order to increase the proposed system's performance, we have defined several parameters to detect any fraud behavior during the whole time that the candidate is using the exam management system.