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首页> 外文期刊>Advances in Internet of Things >Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems
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Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems

机译：一种基于面部识别的新型解决方案，用于在线考试系统中解决身份盗用和欺诈行为

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摘要

The main objective of this research is to provide a solution for online exam systems by using face recognition to authenticate learners for attending an online exam. More importantly, the system continuously (with short time intervals), checks for learner identity during the whole exam period to ensure that the learner who started the exam is the same one who continued until the end and prevent the possibility of cheating by looking at adjacent PC or reading from an external paper. The system will issue an early warning to the learners if suspicious behavior has been noticed by the system. The proposed system has been presented to eight e-learning instructors and experts in addition to 32 students to gather feedback and to study the impact and the benefit of such system in e-learning environment.
机译：这项研究的主要目的是通过使用面部识别来认证参加在线考试的学习者，从而为在线考试系统提供解决方案。更重要的是，该系统连续（以较短的时间间隔）在整个考试期间检查学习者的身份，以确保开始考试的学习者与一直持续到结束的学习者相同，并通过查看相邻的学习者来防止作弊的可能性PC或从外部纸张读取。如果系统发现可疑行为，系统将向学习者发出预警。除32名学生外，拟议的系统已提交给八位电子学习讲师和专家，以收集反馈并研究该系统在电子学习环境中的影响和益处。

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