Abstract

Cloud computing explosive growth has transformed data processing and storage models by providing previously unheard-of levels of scale and flexibility. But there are inherent difficulties with this shift, especially with regard to data security. In order to improve data security in cloud computing settings, this study presents a unique hybrid strategy that makes use of a synergistic fusion of established security concepts with cutting-edge technology. Every day, cloud use rises, raising increasingly serious security-related concerns. One urgent issue is the leakage of personal data during data exchanges via cloud services. Any company’s databases may suffer a severe hit from unauthorized access to the cloud. It is necessary to use encryption to safeguard your data stored in the cloud. However, it might be difficult to sift through a lot of encrypted data. The prior research in this field is examined in this review article. This should allow for the fastest search with the fewest amount of processing resources needed, data privacy, and fast search speeds. Additionally, a few additional goals are put out, such as using Greedy DFS Ranked Searching in conjunction with a novel encryption technique to enhance data security in cloud computing. An advanced search algorithm for a useful time-saving method in cloud systems is attempted to be developed. The study delves into the hybridization of encryption algorithms and proposes a model for an effective privacy-preservation mechanism using a multi-keyword ranked search algorithm.