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

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Advances in Internet of Things

ISSN Print: 2161-6817
ISSN Online: 2161-6825
www.scirp.org/journal/ait
E-mail: ait@scirp.org

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"Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems"
written by Ayham Fayyoumi, Anis Zarrad,
published by Advances in Internet of Things, Vol.4 No.2, 2014

has been cited by the following article(s):

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[17]	E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach--A Case Study
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[18]	Design of face detection and recognition system to monitor students during online examinations using Machine Learning algorithms
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[39]	Autenticación facial como soporte extra en los entornos virtuales de aprendizaje para evitar el fraude académico
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[40]	A smart approach of E-Exam assessment method using face recognition to address identity theft and cheating
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[41]	Novel Solution for Addressing Identity Theft and Cheating in Electronic Examinations using Mouse Dynamics
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[44]	Review of user authentication methods in online examination
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[45]	A Review on Facial Recognition for Online Learning Authentication
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[46]	Statistical Signal Processing Application of on Line Examination and Result Publication in Organization using Algorithm

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[4]	Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations Applied Computational Intelligence and Soft Computing, 2023 DOI:10.1155/2023/3739975

[5]	Fully supervised contrastive learning in latent space for face presentation attack detection Applied Intelligence, 2023 DOI:10.1007/s10489-023-04619-z

[6]	Survey of Online Exam Proctoring Model to Detect Cheating Behavior based on Face Recognition 2022 8th International Conference on Systems and Informatics (ICSAI), 2022 DOI:10.1109/ICSAI57119.2022.10005488

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[10]	Face Morphing Attacks: A Threat to eLearning? 2021 IEEE Global Engineering Education Conference (EDUCON), 2021 DOI:10.1109/EDUCON46332.2021.9454128

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[12]	Design of face detection and recognition system to monitor students during online examinations using Machine Learning algorithms 2021 International Conference on Computer Communication and Informatics (ICCCI), 2021 DOI:10.1109/ICCCI50826.2021.9402553

[13]	Biometric Technologies for eLearning: State-of-the-Art, Issues and Challenges 2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA), 2020 DOI:10.1109/ICETA51985.2020.9379242

[14]	Face Recognition Service Model for Student Identity Verification Using Deep Neural Network and Support Vector Machine (SVM) International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020 DOI:10.32628/CSEIT2063225

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[16]	Integrated and secure web‐based examination management system Computer Applications in Engineering Education, 2019 DOI:10.1002/cae.9

[17]	Novel Face Recognition Based Examinee Authentication System using Python D-Lib 2019 Fifth International Conference on Image Information Processing (ICIIP), 2019 DOI:10.1109/ICIIP47207.2019.8985983

[18]	Design of E-Invigilation Framework Using Multi-Modal Biometrics 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), 2019 DOI:10.1109/ICECCO48375.2019.9043223

[19]	Biometric Authentication in Online Learning Environments Advances in Educational Technologies and Instructional Design, 2019 DOI:10.4018/978-1-5225-7724-9.ch008

[20]	Integrated and secure web‐based examination management system Computer Applications in Engineering Education, 2019 DOI:10.1002/cae.9

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[22]	Information Security Practices 2017 DOI:10.1007/978-3-319-48947-6_6

[23]	Toward Developing a Syllabus-Oriented Computer-Based Question-Banks Software to Support Partially Computerized Exams Journal of Software Engineering and Applications, 2015 DOI:10.4236/jsea.2015.85026

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