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Enhancing Data Security of Cloud Based LMS
Around the world, the educational system is evolving. The new trend can be found in traditional classroom systems as well as digitalization systems. Cloud-based Learning Management Systems (LMS) will accelerate the educational industry forward in the next years because they can provide end—user with...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023308/ https://www.ncbi.nlm.nih.gov/pubmed/37168441 http://dx.doi.org/10.1007/s11277-023-10323-5 |
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author | Chatterjee, Paramita Bose, Rajesh Banerjee, Subhasish Roy, Sandip |
author_facet | Chatterjee, Paramita Bose, Rajesh Banerjee, Subhasish Roy, Sandip |
author_sort | Chatterjee, Paramita |
collection | PubMed |
description | Around the world, the educational system is evolving. The new trend can be found in traditional classroom systems as well as digitalization systems. Cloud-based Learning Management Systems (LMS) will accelerate the educational industry forward in the next years because they can provide end—user with a versatile, convenient, secure, and cost-effective learning process. The cloud-based LMS approach is the most effective and proper learning model in the worldwide educational sector, particularly if the organization is in a state of depression owing to a global pandemic. It can be utilized over the internet with several users on the same platform. As a result, the initial requirement is important to enable to the LMS model. Despite its many advantages, LMS confronts challenges such as confidentiality, user acceptance, and traffic. In a pandemic like Covid 19, the entire planet depends on a safe LMS platform to establish student and instructor trust. Therefore, with this work, the attempt has been made to explain one LMS model that may provide its users with optimal security, a user-friendly environment, and quick access. This paper discusses the use of the cloud attack, and also cryptographic and steganographic security models and techniques to address these issues. There’s also information on what kinds of security vulnerabilities or operations on cloud data are feasible, and also how to deal with them using various algorithms. |
format | Online Article Text |
id | pubmed-10023308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-100233082023-03-21 Enhancing Data Security of Cloud Based LMS Chatterjee, Paramita Bose, Rajesh Banerjee, Subhasish Roy, Sandip Wirel Pers Commun Article Around the world, the educational system is evolving. The new trend can be found in traditional classroom systems as well as digitalization systems. Cloud-based Learning Management Systems (LMS) will accelerate the educational industry forward in the next years because they can provide end—user with a versatile, convenient, secure, and cost-effective learning process. The cloud-based LMS approach is the most effective and proper learning model in the worldwide educational sector, particularly if the organization is in a state of depression owing to a global pandemic. It can be utilized over the internet with several users on the same platform. As a result, the initial requirement is important to enable to the LMS model. Despite its many advantages, LMS confronts challenges such as confidentiality, user acceptance, and traffic. In a pandemic like Covid 19, the entire planet depends on a safe LMS platform to establish student and instructor trust. Therefore, with this work, the attempt has been made to explain one LMS model that may provide its users with optimal security, a user-friendly environment, and quick access. This paper discusses the use of the cloud attack, and also cryptographic and steganographic security models and techniques to address these issues. There’s also information on what kinds of security vulnerabilities or operations on cloud data are feasible, and also how to deal with them using various algorithms. Springer US 2023-03-18 2023 /pmc/articles/PMC10023308/ /pubmed/37168441 http://dx.doi.org/10.1007/s11277-023-10323-5 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Chatterjee, Paramita Bose, Rajesh Banerjee, Subhasish Roy, Sandip Enhancing Data Security of Cloud Based LMS |
title | Enhancing Data Security of Cloud Based LMS |
title_full | Enhancing Data Security of Cloud Based LMS |
title_fullStr | Enhancing Data Security of Cloud Based LMS |
title_full_unstemmed | Enhancing Data Security of Cloud Based LMS |
title_short | Enhancing Data Security of Cloud Based LMS |
title_sort | enhancing data security of cloud based lms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023308/ https://www.ncbi.nlm.nih.gov/pubmed/37168441 http://dx.doi.org/10.1007/s11277-023-10323-5 |
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