Citation:

Himani Saini, Gopal Singh, 2023. "Privacy Preservation Techniques in Cloud Computing" ESP Journal of Engineering & Technology Advancements  3(1): 15-20.

Abstract:

Cloud Computing helps customers to take benefit from the variety of services, such ason-demand self-service, universal network connectivity, risk transfer, a usage-based payment andlocation-independent resource sharing. The privacy of cloud data is a critical concern in the cloudcomputing environment that necessitates unique attention. Kanonymity is a useful concept for preserving privacy in cloud computing. The concept of generalization is most commonly used because of its little information loss. However, such algorithms are often computationally expensive, they struggle to perform well when dealing with massive amounts of data. This articleexamines the security risks and concerns that cloud consumers and service providers confront. This research study identifies the research gaps and proposes a method to address the problem

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Keywords:

Cloud Computing, k-anonymity, Privacy Preservation, Security, Swarm Intelligence.