PRIVACY PRESERVING NATURAL LANGUAGE PROCESSING IN THE CLOUD SUPPORTING SIMILARITY BASED TEXT RETRIEVAL THROUGH BLIND STORAGE.

In cloud computing, a fundamental application is to preserve outsourced data in cloud through gateway encryption and blind storage, and to implement multi-keyword ranked search over the encrypted data in a secure way by NLP process .By using NLP (Natural language processing) technique used to search multi keyword in cloud its extract the meaning from Word Net tool. In this paper, we develop the searchable encryption for multi-keyword ranked search over the storage data. Efficient multi-keyword search scheme that can return the ranked search results based on the accuracy. Within this framework, we leverage an efficient index to further improve the search efficiency, and adopt the blind storage system to conceal access pattern of the search user. Security analysis demonstrates that our scheme can achieve confidentiality of documents and index, trapdoor privacy, trapdoor unlinkability, and concealing access pattern of the search user. Finally, using extensive simulations, we show that our proposal can achieve much improved efficiency in terms of authentication and access control compared with the existing proposals.