A Secure and Scalable Encryption Framework for Cloud Data Protection and Storage Optimization

Authors

  • Arjun Kotwal

Keywords:

Cloud security, Encryption, Cloud storage, Cloud Data Protection, Storage Optimization

Abstract

This research presents a novel secure and scalable encryption framework designed to address the growing challenges of cloud data protection and storage optimization. With the increasing reliance on cloud computing for data storage and management, ensuring the confidentiality, integrity, and availability of sensitive data is paramount. The proposed framework leverages advanced encryption
techniques, such as homomorphic encryption and attribute-based encryption, to protect cloud data while maintaining efficient access control and minimizing performance overhead.

References

Anderson, R., Kumar, P., & Yu, S. (2016). Cloud Data Security: A Survey. IEEE Access, 4, 4789-4805. https://doi.org/10.1109/ACCESS.2016.2586902 Gentry, C. (2009). Fully Homomorphic Encryption: A Survey. International Conference on Theory and Applications of Cryptographic Techniques, 199-218. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04101-3_12

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Published

2024-10-12

How to Cite

Arjun Kotwal. (2024). A Secure and Scalable Encryption Framework for Cloud Data Protection and Storage Optimization. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 1808–1815. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1858

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