A provable semiology seeking scheme over encoding data in public cloud.

One of the difficult tasks is semiology seeking over encoded data. In order to make the search results flexible, it mainly focuses to provide fetching service to random words. In the existing semiology seeking scheme, the cloud service provider does not verify whether the user is a valid user or not and also the main drawback is it searches for a particular file with matching and exact keyword and if we don't provide the exact keyword that particular file won't be retrieved. Through this project, we are launching a secure semiology seeking strategy. Here instead of giving exact keywords, we can use its semantics for retrieving the particular file and also the cloud server will verify whether the client is real or not. If the client is a real one, then they can retrieve the file from public cloud, otherwise it will show a warning message to the client. To find the matching between the documents, we use phrase shipping method to see the Minimum Word Transportation Cost (MWTC). In order to design a verification scheme, we use duality theorem of LP to check whether search results are correct or not. Verifiability and Confidentiality is guaranteed by our scheme. [ABSTRACT FROM AUTHOR]