An Enhanced Trust Based Privacy Preservation Mechanism for Cloud Networks

Abstract

Cloud Computing helps customers to take benefit from the variety of services, such as on-demand self-service, universal network connectivity, risk transfer, a usage-based payment and location-independent resource sharing. The privacy of cloud data is a critical concern in the cloud computing environment that necessitates unique attention. K-anonymity is a useful concept for preserving privacy in cloud computing. The concept of generalisation 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 article examines 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.