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The project solves and defines the difficulty of Multi-keyword Ranked Search over Encrypted cloud data (MRSE) while preserving firm system wise privacy in the cloud computing hypothesis. For the protection of data privacy, sensitive data has to be encrypted before outsourcing, which makes effective data utilization a very challenging task. Even though searchable encryption method allows users to firmly search over encrypted data all the way through the keywords, they carry only search i.e., Boolean. They are not yet enough to meet the utilization of the data successfully because there is instinctively demanded by large n umber of data files and users located in cloud. Hence, it is required to allow multiple keywords in the search request and return documents in the order of their significance to the keywords. The keyword i.e., Boolean of the search technique only produce the unsorted result. A valuable method proposed for this difficult problem is privacy conserving search over encrypted cloud data. After the data have been encrypted and outsourced by the data owner this method establishes a set of privacy desires to secure cloud data utilization system during splitting the cloud data and storing the chunk data in different servers. Among different multi -keyword ontology, this method chooses the well-organized similarity measure of “coordinate matching” for searching technique. Then according to Top-K query scheme the sorted results are created.

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How to Cite
Mrs. B.Deepa, G.V. Kavipriya, K. Lakshmipriya, & P. Karthik. (2021). Secure virtual machine based multi keyword data sharing on public cloud. International Journal of Intellectual Advancements and Research in Engineering Computations, 7(2), 2911–2917. Retrieved from