A Comprehensive Study on AI-Powered Adaptive Encryption Techniques for Securing Cloud Storage Systems

Authors

  • James Wilson Senior AI Engineer, Google, Mountain View, USA Author

Keywords:

Artificial Intelligence, Adaptive Encryption, Cloud Storage

Abstract

Cloud storage systems have revolutionized data management and accessibility, but their widespread adoption has raised significant concerns regarding data security and privacy. The integration of Artificial Intelligence (AI) with adaptive encryption techniques has emerged as a promising solution to these challenges. This paper explores the application of AI in enhancing encryption methods to protect sensitive data stored in the cloud. It examines various AI-powered encryption techniques, their adaptive capabilities, and their impact on the performance, scalability, and security of cloud storage systems. The paper further investigates real-world implementations of AI in cloud encryption, highlighting the advantages and limitations of these technologies. Finally, it discusses the future of AI-powered encryption in securing cloud-based data and the potential challenges that must be addressed to ensure robust data protection.

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References

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Published

27-10-2023

How to Cite

[1]
J. Wilson, “A Comprehensive Study on AI-Powered Adaptive Encryption Techniques for Securing Cloud Storage Systems”, Distrib Learn Broad Appl Sci Res, vol. 9, pp. 533–538, Oct. 2023, Accessed: Dec. 28, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/255

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