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has been cited by the following article:

• TITLE: Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems

  AUTHORS: Ayham Fayyoumi, Anis Zarrad

  KEYWORDS: Online Exam, Face Recognition, Authentication, Exam Cheating

  JOURNAL NAME: Advances in Internet of Things, Vol.4 No.2, April 28, 2014

  ABSTRACT: 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.