Design and Implementation of a Computerized User Authentication System for E-Learning.

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Autor/Urheber	Faizal Khan; Sultan Refa Alotaibi
Institution	Kassel University Press
Titel	Design and Implementation of a Computerized User Authentication System for E-Learning.
Quelle	In: 1863-0383; doi:10.3991/ijet.v15i09.12387; International Journal of Emerging Technologies in Learning (iJET), Vol 15, Iss 09, Pp 4-18 (2020)(2020) PDF als Volltext kostenfreie Datei
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
DOI	10.3991/ijet.v15i09.12387
Schlagwörter	e-learning; user authentication; intelligent agents; feature extraction; security; Education; Information technology; T58.5-58.64
Abstract	The system based on formalized teaching with the help of electronic resources is called as E-learning. Using E-Learning in the university education systems has been growing rapidly based on the application of Information Technology (IT) designed for the substitute of traditional based learning approach. In terms of the E-learning based examinations, security constraints such as, identification of the user, misuse the passwords, unauthorized user instead of the authenticated one are available. Because of these disadvantages, the need of an authentication system is very important. The main challenge facing the security of E-learning environment is how to identify the unauthorized users from accessing and managing any platform. Therefore solving the problem of authenticating the valid user is very important. So, an intelligent examination system along with user authentication based on facial expression recognition is proposed in this paper. The proposed system can be classified in to three phases. The first phase is the design of facial database from the captured images. The second phase is the design of Artificial Intelligence (AI) based system for facial feature extraction and its classification using intelligent Agents. The final phase is the authentication of respective users by automatic identification of facial images. The results obtained shows that the proposed methodology has managed to validate the authenticated users and to provide an effective security in the E-learning platform.
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