Privacy-Preserving Techniques for Secure Cloud Computing : A Survey of Recent Advances

Authors

  • N. Savitha  Department of Computer Science and Engineering, Chaintanya Deemed to be University, Warangal, Telangana, India
  • Dr. E. Sai Kiran  Department of Computer Science and Engineering, Chaintanya Deemed to be University, Warangal, Telangana, India

DOI:

https://doi.org/10.32628/IJSRST523103129

Keywords:

Privacy-preserving techniques, Secure cloud computing, federated learning, homomorphic encryption, secure multi-party computation, and differential privacy.

Abstract

Cloud computing has gained immense popularity in recent years due to its on-demand and scalable computing resources. However, with the growth of cloud computing, privacy and security concerns have also increased. The primary concern is how to ensure the confidentiality and integrity of data in the cloud, as the data is stored on third-party servers. To address these concerns, various privacy-preserving techniques have been proposed, which allow users to store and process their data in the cloud without compromising privacy and security. We provide a thorough overview of current developments in privacy-preserving methods for safe cloud computing in this study. We start by giving a general review of cloud computing and the security issues it presents. Then, we go over a variety of privacy-preserving methods, such as differential privacy, homomorphic encryption, secure outsourcing, and secure multi-party computation. We also highlight their advantages and limitations. Finally, we conclude with some future research directions in privacy-preserving cloud computing.

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International Journal of Scientific Research in Science and Technology

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Published

2023-06-30

Issue

Volume 10, Issue 3, May-June-2023

Section

Research Articles

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How to Cite

[1]
N. Savitha, Dr. E. Sai Kiran "Privacy-Preserving Techniques for Secure Cloud Computing : A Survey of Recent Advances" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 3, pp.736-742, May-June-2023. Available at doi : https://doi.org/10.32628/IJSRST523103129