International Journal of Research and Development in Engineering Sciences (IJRDES ) | Advancing Cloud Data Protection with Cryptographic Algorithms

Advancing Cloud Data Protection with Cryptographic Algorithms

Encryption makes it possible to send private information via unprotected channels without worrying about data loss or modification by unauthorized parties. For data security in various contexts, many encryption algorithms have developed throughout time. This paper focuses on symmetric encryption, often used for key exchange due to its large key size. In the context of data centers and cloud computing, security is paramount. This paper proposes a quantum computing algorithm for encrypting cloud data. This combination leverages quantum computing's rapid complex computations. The quantum computing algorithm offers fast, efficient, and secure data protection in cloud environments, reducing computational power requirements while enhancing overall efficiency. Moreover, it addresses the limitations of traditional encryption methods and provides a scalable solution for large-scale data encryption. By integrating quantum computing, we can achieve unprecedented levels of security and performance. The potential impact of this approach could revolutionize data protection standards in the cloud industry.

Research Type: Comparative Research
Paper Type: Experimental Research Paper
Vol.7 , Issue 4 , Pages: 47 - 53, Aug 2025
Published on: 28 Aug, 2025
Issue Type: Regular

Cite Score

:

100
No. of authors

:

75
No. of Downloads

:

43

Cite Score

:

100
No. of authors

:

75
No. of Downloads

:

43

Cite Score

:

100
No. of authors

:

75
No. of Downloads

:

43

About Authors:

SUJANA

India

Viswam Engineering College

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Copyright © 2025, This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY-NY-SA). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Corresponding Author: SUJANA, sujanacse93@gmail.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Conflict of interest: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.