As so much advantage of cloud computing, more and more data owners centralize their sensitive data into the cloud. In this paper, we propose a semantic multi-keyword ranked search scheme over the encrypted cloud data, which simultaneously meets a set of strict privacy requirements. Firstly, we utilize the "Latent Semantic Analysis" to reveal relationship between terms and documents. The relationship between terms is automatically captured. Secondly, our scheme employ secure "k-nearest neighbor (k-NN)" to achieve secure search functionality. The proposed scheme could return not only the exact matching files, but also the files including the terms latent semantically associated to the query keyword. Finally, the experimental result demonstrates that our method is better than the original MRSE scheme.
As well, all of Xia, Z., et al. REF , have proposed a semantic multi-keyword ranked search scheme over the encrypted cloud data (MRSE) that is concurrently meeting some stringent privacy requirements.
An Efficient and Privacy-Preserving Semantic Multi-Keyword Ranked Search over Encrypted Cloud Data
Advances in Multimedia, Communication and Networking
Advances in Multimedia, Communication and Networking
Computer Science