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In this paper, we study the problem of keyword search with access control (KSAC) over encrypted data in cloud computing. We first propose a scalable framework where user can use his attribute values and a search query to locally derive a search capability, and a file can be retrieved only when its keywords match the
schemes allow a user to securely search over encrypted data through keywords and selectively retrieve files of interest, these techniques support only exact keyword search. That is, there is no tolerance of minor typos and format inconsistencies which, on the other hand, are typical user searching behavior and happen very
is very different from the retrieval of plaintext. The traditional plaintext retrieval method is no longer suitable for the retrieval of the cipher text. In the previous fuzzy search strategy, although fuzzy keyword sets that building on keyword dictionary can realize the fuzzy search. But when the keyword set is
queried keywords appearing in the document which evaluate the relevance scoring of the document and to the search query to retrieve relevant information from cloud storage. Furthermore, we establish a new ranking procedure to retrieve highest ranked documents (i.e., most relevant) in the data set that brings considerable
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