In cloud computing paradigm, Outsourcing data provides seamless benefits in terms of reduced data management and infrastructure cost. Despite of various advantageous of cloud, privacy and security of the outsourced data files has been primary concern. Nowadays many data encryption model has been proposed using public key cryptosystem to provide strong data confidentially but still challenges exist in the multiuser environment. In order to provide efficient data security on the outsourced data, a new user defined searchable encryption has been proposed. It provides a special data indexing structure to obtain linear search on the ciphertext models. The proposed user defined searchable encryption model offers multi keyword search on the encrypted data. It simultaneously supports the dynamic update operations. Meanwhile system withstands against keyword and guessing attacks. The query processing model work along the factoid, non factoid, conjunctive and disjunctive query types. The AES algorithm has been applied to encrypt the outsourcing data before transmitting to the cloud and RSA algorithm is used for key generation. Further concept based mining is applied for query processing and index creation on generation of trap doors. Finally bilinear paring is done efficient data indexing and query vectors. The performance evaluation on proposed model has been proven on relevance Score, Execution time, Accuracy and efficiency against state of art approaches
Volume 11 | 06-Special Issue
Pages: 1656-1659