Secure Ranked Keyword Search Over Encrypted Cloud Data

Distributed computing is a system of remote servers facilitated on the Internet and used to store, oversee and prepare information set up of neighborhood servers. In the existing system three techniques used to extract information from the cloud. In this paper, a vector space show is utilized and each record is spoken to by a vector, which implies each report can be viewed as a point in a high dimensional space. The interdependence between varieties of documents are grouped into several categories. The pursuit time can be to a great extent decreased by choosing the coveted class and deserting the insignificant classifications. Cloud server will first search the categories and get the minimum desired sub-category. At that point the cloud server will select the desired k documents from the least possible desired sub-category. The value of k is to be decided by the user earlier and sent to the cloud server. To verify the search result, user has to verify the virtual ischolar_main, instead of verifying every document. Furthermore, the proposed technique has favorable position over the traditional method in the rank privacy and relevance of retrieved documents.