Enabling Fine-grained Multi-keyword Search Supporting Classified Sub-dictionaries over Encrypted Cloud Data
Abstract— Enabling Fine-grained Multi-keyword Search Supporting Classified Sub-dictionaries over Encrypted Cloud Data. Using cloud computing, individuals can store their data on remote servers and allow data access to public users through the cloud servers. As the outsourced data are likely to contain sensitive privacy information, they are < Final Year Projects 2016 > typically encrypted before uploaded to the cloud. This, however, signiﬁcantly limits the usability of outsourced data due to the difﬁculty of searching over the encrypted data. In this paper, we address this issue by developing the ﬁne-grained multi-keyword search schemes over encrypted cloud data. Our original contributions are three-fold. First, we introduce the relevance scores and preference factors upon keywords which enable the precise Key word search and personalized user experience.
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