Dynamic Searchable Symmetric Encryption (DSSE) is a prospective technique in

the field of cloud storage for secure search over encrypted data. A DSSE client can issue

update queries to an honest-but-curious server for adding or deleting his cipher texts to or

from the server and delegate keyword search over those cipher texts to the server. In cloud

computing, data owners may share their outsourced data with a number of users, who

might want to only retrieve the data files they are interested in. One of the most popular

ways to do so is through keyword-based retrieval. We propose a new searchable

encryption scheme, in which novel technologies in cryptography community, including

AES encryption and the vector space model. In the proposed scheme, the data owner

encrypts the searchable index with Naïve Bayes Classifier. AES algorithm is used for

encryption and decryption of data, this is happens while uploading and downloading the

data. Naive Bayes algorithm is used to retrieve the data from the cloud for the

corresponding user query. The data owner uploads the file and the file gets encrypted

using AES and stored in the cloud, the data owner additionally gives the keywords related to the uploaded file, so that the user can able to query and retrieve from the encrypted data, that keywords not be a single keyword, it is multi-keywords.The cloud user can give input as query which may be any keyword or multi-keyword which match with file keywords and result as file details. The users have to give the decryption key while downloading the data. This proposed scheme will works as secure and effective data retrieval using this secure search scheme. Query results verification is happens at last, to verify the results which retrieved for the user input query.