Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems
Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems作者机构：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) RiyadhSaudi Arabia
出 版 物：《Advances in Internet of Things》 (物联网（英文）)
年 卷 期：2014年第4卷第2期
页 面：5-12页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Online Exam Face Recognition Authentication Exam Cheating
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.
维普期刊数据库