Seclusion Search over Encrypted Data in Cloud Storage Services?

Cloud computing is envisioned as the next generation architecture of IT enterprises, providing convenient remote access to data storage and application services. While this outsourced storage model can potentially bring great economical savings for data owners and users, but due to wide concerns of data owners that their private data may be involuntarily exposed or handled by cloud providers. Although end-to-end encryption techniques have been proposed as promising solutions for secure cloud data storage. In this article, we identify the system requirements and challenges towards achieving privacy assured searchable outsourced cloud data services. This paper present a general methodology for this, using searchable encryption techniques, which allows encrypted data to be searched by users without leaking information about the data itself and users queries. The statistical measure approach, i.e., relevance score, from information retrieval to build a secure searchable index, and develop a onetomany 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.