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In a real world, it is often in a group setting that sensitive information has to be stored in databases of a server. Although personal information does not need to be stored in a server, the secret information shared by group members is likely to be stored there. The shared sensitive information requires more security and privacy protection. To our best knowledge, there is no paper which deals with...
Outsource encrypted data has attracted attentions from industry and academics for storing sensitive data in third party clouds. Many cloud applications need privacy preserving multiple keywords search services over encrypted data with dual capabilities. On one hand, they need to keep the query keywords and associated
present a new approach to constructing efficient oblivious keyword search (OKS) protocol, which permits fast search (i.e., sub-linear time) and relatively short ciphertext, while providing provably strong privacy for both users and cloud storage service providers. Previous OKS protocols have ciphertext size linear in the
would allow the OSN provider to perform keyword search over the encrypted content for advertising profit, so that the OSN provider can commercialize its products without the knowledge of content.
database to the cloud server. In this context, privacy is a primary challenge and it is necessary to fulfill main privacy requirements of database owners and clients. This paper presents protocols for executing keyword search and aggregate SQL queries that preserve the privacy of both the client and the database owner. Client
to be the best approach in the literature. In this paper, however, we show that their proposal seems unlikely to be implementable with the latest technology, due to a large amount of computation cost involved. Then, we provide an improved method to turn the keyword search more practical, which cannot only avoid the
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