An efficient data retrieval approach using blowfish encryption on cloud ciphertext retrieval in cloud computing

A key issue for cloud storage is privacy security. The purpose of privacy, the data owner can outsource his sensitive data on the cloud and give the access control to the authorized user. When the data owner stores his data on the cloud, the data is encrypted for the security guarantee. In this paper, an efficient ciphertext retrieval techniques on a large volume of data are proposed. Initially, an index is generated by Porter stemming. Then the Blowfish algorithm is applied for encryption of files to be outsourced. For authorized access, public key encryption based elliptic curve cryptography (ECC) is used for key generation. When keyword queries are transferred to the cloud, it searches the relevant content associated with the index and retrieves the matching files. Then the Blowfish decryption algorithm is used to get the plain text. It provides security for outsourced data, and the performance of the proposed work showed better efficiency regarding of low computation and communication costs.