An Efficient Retrieval of Encrypted Data In Cloud Computing

The arrival of cloud computing the new pattern for data outsourcing and high quality data service is great flexibility and economic saving. However fear about the sensitive information on cloud to be protecting the data privacy problems sensitive information has to be encrypted before outsourcing, which creates the effective data utilization services a very big challenging task. Symmetric Searchable Encryption (SSE) technique allows to retrieval of encrypted data on cloud, but it leaks the data privacy. Secure server –side ranking based on the order-preserving Encryption (OPE) it include the similarity relevance and robustness. But OPE also unavoidable of data privacy. To eliminate server side ranking introduce the Two-Round Searchable Encryption (TRSE) it include the vector space model and homomorphic encryption. Vector space model used for user retrieve file accurately and homomorphic encryption used for ranking involve in the user side it done by server side operation on cipher text. The TRSE also leakage the privacy and it generated the small number of keys so unauthorized user easily hack the sensitive information so to avoid this problem propose the blowfish algorithm it generate the large number keys. We propose scheme is high security guarantee and more efficiently retrieve the over encrypted data. KEYWORDS— Cloud computing, Data privacy, Relevance scoring, Homomorphic encryption, Vector space model, Blow fish algorithm.