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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Securing the cloud: A comprehensive analysis of data security challenges and solutions

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  • Securing the cloud: A comprehensive analysis of data security challenges and solutions

Nuruddin Sheikh *

Lead Software Performance Engineer, Intercontinental Exchange.

Research Article
 

International Journal of Science and Research Archive, 2024, 13(01), 3471-3483.
Article DOI: 10.30574/ijsra.2024.13.01.1779
DOI url: https://doi.org/10.30574/ijsra.2024.13.01.1779

Received on 11 August 2024; revised on 17 September 2024; accepted on 20 September 2024

Through cloud computing, organizations and individuals have access to more flexible, scalable and cost effective storage of data as well as a means to access and manage data. The problem is, however, the immense adoption of cloud computing has resulted in data security challenges across the globe. This work investigates different security problems that cloud infrastructures face such as data leaks, insider attacks, encryption problems and weaknesses related to common resources and multi-tenant models. However, cloud technology has significant benefits, and these risks must be safeguarded against with well tried and tested strategies. The principal solutions suggested to secure cloud data are advanced encryption techniques, including homomorphic and end-to-end encryption. The study also looks at the growing adoption of Zero Trust security model, where continuous authentication, least privilege access, and micro segmentation are being implemented to curtail entry by unauthorized users and data breaches. In addition, I illustrate the significance of regulatory frameworks including GDPR and HIPAA in enforcing compliance, and steering cloud service providers to uphold the highest possible security standards. This finding paves the way for cloud computing to deliver unprecedented flexibility, but exposing security challenges that will need a multidisciplinary solution. AI driven threat detection coupled with secure encryption and Zero Trust frameworks can be powerful data protection strategies for the cloud. The study, however, also highlights major gaps that need to be bridged, including developing better insider threat management, better encryption practices and clearer regulatory standards. Further research is needed for the future to investigate other technologies yet to come to be, and what they will mean for cloud data security (quantum computing to name one example).
The research presents a thorough review of the security of information in the cloud, providing useful insights for cloud service providers, industry leaders and policy makers. Future research recommendations include facilitating more robust encryption techniques, adding behavioral analytics for discovering insider threat, and addressing changing risks on cloud computing environments.

Cloud Computing; Data Security; Insider Threats; Encryption; Zero Trust; GDPR; HIPAA; Advanced Encryption Techniques; Cloud Service Providers; Data Breaches; Security Frameworks

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-1779.pdf

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Nuruddin Sheikh. Securing the cloud: A comprehensive analysis of data security challenges and solutions. International Journal of Science and Research Archive, 2024, 13(01), 3471-3483. https://doi.org/10.30574/ijsra.2024.13.01.1779

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

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