A PRIVACY AND DYNAMIC MULTI-KEYWORDS RANKED SEARCH SCHEME OVER CLOUD DATA ENCRYPTED

Cloud computing is emergent discipline as a new computing model in a number of trade domains. Enormous numbers of colossal-scale businesses are starting to shift the data on to the cloud environment. The proposed multi key word search based on rating over encrypted cloud data uses feature of similarity and inner product similarity matching. The vector space model helps to provide enough search accuracy and homomorphic encryption permits clients to contain in ranking whereas majority of computing work is done on server part by using operations only on cipher textual content. As a consequence in this system for top-k retrieval user gets an interested/used link in top.