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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 1, 2022.
Abstract: e-Learning has transposed the perception of teaching and learning considering knowledge delivery and knowledge acquirement. Today, e-learning participants access and upload their materials at any time and at any place since e-learning technologies are typically hosted on the cloud. Cloud computing has embellished the base platform for the future of e-learning, however, security and privacy remains a major concern. Cloud-hosted e-learning technologies as they are accessed over the internet suffer from the same risks to information security aspects namely availability, confidentiality, and integrity. In such a context, data authenticity, privacy, access rights and digital footprints are vulnerable in the cloud. Research in this domain focuses on specific components of cloud and e-learning without covering a holistic view of applied cryptographic techniques and practical implementation. Hence, aiming at the various security aspects and impacts of cloud-based e-learning technologies, this paper puts forward reviewing the various cryptographic techniques used to secure data across the whole end-to-end cloud-based e-learning service spectrum using systematic review and exploratory method. The results obtained define several sets of criteria to evaluate the requirements of cryptographic techniques and propose an implementation framework across an end-to-end cloud-based e-learning architecture using multi-agent software.
Lavanya-Nehan Degambur, Sheeba Armoogum and Sameerchand Pudaruth, “A Study of Security Impacts and Cryptographic Techniques in Cloud-based e-Learning Technologies” International Journal of Advanced Computer Science and Applications(IJACSA), 13(1), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130108
@article{Degambur2022,
title = {A Study of Security Impacts and Cryptographic Techniques in Cloud-based e-Learning Technologies},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130108},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130108},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {1},
author = {Lavanya-Nehan Degambur and Sheeba Armoogum and Sameerchand Pudaruth}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.