Keyword Ranked MetaData Indexed Object Clawler in Cloud Servers
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 to build a secure searchable index, and develop a one-to-many order-preserving mapping technique to properly protect those sensitive score information. The resulting design is able to facilitate efficient server-side ranking without losing keyword privacy. Thorough analysis shows that the authors' proposed solution enjoys \"As strong-as-possible\" security guarantee compared to previous searchable encryption schemes, while correctly realizing the goal of ranked keyword search.