Dynamic and Secure Ranked Keyword Search in Cloud with Authenticity

Abstract

Sensitive clouds data have to be encrypted before outsourced to the commercial cloud environment, which makes effective data utilization, service a very challenging task. In this paper, define and solve the problem of secure ranked keyword search over encrypted cloud data. Enhance system usability by enabling search result relevance ranking instead of sending undifferentiated results and further ensures the file retrieval accuracy through Ranked search. Specifically, The statistical measure approach explore, i.e., relevance score, from information retrieval to build a secure searchable index, develop a one-to-many order-preserving mapping technique to properly protect those sensitive score information. Hence, supporting the score dynamics in the searchable index for an RSSE system, the corresponding file collection updates reflected thus of practical importance. Thus, enabling a search result authentication mechanism that can detect such unexpected behaviours of cloud server is also of practical interest and worth further investigation. The resultant design is able to facilitate efficient server-side ranking without losing keyword privacy.