A Survey on Semantic Search Encryption Using Cloud Computing

Abstract

As Cloud Computing becomes widely, more and spread sensitive data are being centralized into the cloud. Data in outsourced to the public cloud for economic savings and ease of access. However, the privacy information has to be encrypted to guarantee the security. To implement efficient data utilization, search over encrypted cloud data has been a great challenge. The existing solutions depended entirely on the submitted keyword-based search schemes, and almost all of them depend on predefined keywords extracted in the phases of index construction and query. In view of the deficiency, as an attempt, we propose a semantic expansion based similar search solution over encrypted cloud data. Our solution could return not only the exactly matched files, but also the files including the terms semantically related to the query keyword. In the proposed scheme, a corresponding file metadata is constructed for each file. Then both the encrypted metadata set and file collection are uploaded to the cloud server. Further more, we a basic idea for significantly improved scheme to satisfy the security guarantee of searchable symmetric encryption (SSE).