Main Article Content
Abstract
Sensitive cloud data have to be encrypted to protect data privacy, before outsourced to the commercial public cloud. The encryption process makes effective data utilization service a very challenging task. Traditional searchable encryption techniques allow users to securely search over encrypted data through keywords. The privacy enabled data searching scheme provides solution for secure ranked keyword search over encrypted cloud data. Ranked search greatly enhances system usability by enabling search result relevance ranking instead of sending undifferentiated results and further ensures the file retrieval accuracy. The statistical measure approach, i.e., relevance score, from information retrieval is explored to build a secure searchable index. One-to-many orderpreserving mapping technique is developed to properly protect those sensitive score information. The system facilitates server-side ranking without losing keyword privacy. The system is improved to support relevance score dynamics process. Search result authentication is also provided in the system. One-to-many order-preserving mapping technique is also enhanced in reversible manner. The similarity analysis scheme is used to identify the query results under the cloud data storage.