D.Pratiba, G.Shobha and Vijaya Lakshmi

Cloud computing is an emanating technology allowing users to perform data processing, use as storage and data admission services from around the world through internet. The Cloud service providers charge depending on the user’s usage. Imposing confidentiality and scalability on cloud data increases the complexity of cloud computing. As sensitive information is centralized into the cloud, this information must be encrypted and uploaded to cloud for the data privacy and efficient data utilization. As the data becomes complex and number of users are increasing searching of the files must be allowed through multiple keyword of the end users interest. The traditional searchable encryption schemes allows users to search in the encrypted cloud data through keywords, which support only Boolean search, i.e., whether a keyword exists in a file or not, without any relevance of data files and the queried keyword. Searching of data in the cloud using Single keyword ranked search results too coarse output and the data privacy is opposed using server side ranking based on order-preserving encryption (OPE). The proposed scheme, guarantees top-n multi keyword retrieval over encrypted cloud data with high privacy and practical efficiency using vector space model and TRSE ,where in the majority of computing work is done on the server while the user takes part in ranking..

Cloud Computing, RSA, Vector Space Model, two round searchable encryption