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Edge-Computing based Secure E-learning Platforms

Abstract

Implementation of Information and Communication Technologies (ICT) in E-Learning environments have brought up dramatic changes in the current educational sector. Distance learning, online learning, and networked learning are few examples that promote educational interaction between students, lecturers and learning communities. Although being an efficient form of real learning resource, online electronic resources are subject to threats and vulnerabilities on the internet. Authentication, access and storage of data is a major concern among many organizations implementing E-learning platforms. This study provides a literature review of past five-year research studies, and proposes Edge-computing based solution to the currently existing authentication and data access problems that prevail in the current E-learning management systems using cloud services for data storage. The study guides researchers towards enabling Edge-computing based E-learning platforms to support low power computing devices running Elliptic Curve Cryptography for secure access and authentication.

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Publication version
Accepted or Published Version
DOI:
Digital Object Identifier (open in new tab) 10.1109/ICAIIC54071.2022.9722680
License
Copyright (2022 IEEE)

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Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) strony 324 - 328
Language:
English
Publication year:
2022
Bibliographic description:
Bhat S. A., Alyahya D., Dar M. A., Shah S.: Edge-Computing based Secure E-learning Platforms// 2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)/ : , 2022, s.324-328
DOI:
Digital Object Identifier (open in new tab) 10.1109/icaiic54071.2022.9722680
Sources of funding:
  • External.
Verified by:
Gdańsk University of Technology

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