Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems - Advances in Internet of Things

AIT > Vol.4 No.2, April 2014

Advances in Internet of Things

Volume 4, Issue 2 (April 2014)

ISSN Print: 2161-6817 ISSN Online: 2161-6825

Google-based Impact Factor: 4.62 Citations

Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems ()

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DOI: 10.4236/ait.2014.42002 9,780 Downloads 13,319 Views Citations

Author(s)

Ayham Fayyoumi, Anis Zarrad

Affiliation(s)

Department of Computer Science and Information Systems, Prince Sultan University (PSU),Riyadh, Saudi Arabia.
Department of Information Systems, Al Imam Mohammad IBN Saud Islamic University (IMSIU), Riyadh,Saudi Arabia.

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.

KEYWORDS

Online Exam, Face Recognition, Authentication, Exam Cheating

Share and Cite:

Fayyoumi, A. and Zarrad, A. (2014) Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems. Advances in Internet of Things, 4, 5-12. doi: 10.4236/ait.2014.42002.

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