Muti-keyword Search with Preserving Privacy over Encrypted Data in the Cloud

Cloud computing has become fame in the society and more users and more data owners centralize their secure data into the cloud. As there is huge amount of data files that are stores in the cloud server, it is important to provide security for the cloud and for the keyword based search service to data user. Here in order to protect this data, sensitive data is usually encrypted before ending the data to the cloud server, which makes the search technologies on plain text unusable. In this paper, we have to propose a sematic multi-keyword ranked search scheme over the encrypted cloud data, which simultaneously meets a set of privacy requirements. Here we propose the “Latent Semantic Analysis” to reveal the relationship between the terms and the documents and this latent semantic analysis takes this advantage of the higher-order structure in the terms with document (“semantic structure”) receives a diminished measurement vector space to speak to words and documents. Consequently, the relationship between terms is consequently caught. Besides, our plan utilize secure "k-nearest neighbour (k-NN)" to accomplish secure pursuit usefulness. The proposed plan could return the accurate coordinating documents, as well as the records including the terms inactive semantically related to the inquiry watchword. At long last, the exploratory result exhibits that our technique is superior to the first MRSE plan.