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this paper we propose Privacy Preserving Synonym Based Fuzzy Multi-Keyword Ranked Search Over Encrypted Cloud Data, a scheme which enhances user search experience to a paramount by providing both fuzzy and synonym based multi-keyword ranked search, thereby taking encrypted search experience closer to free text search
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
used for retrieving the encrypted cloud data through keywords and these techniques retrieve the files in a ranked order but they either support rank based single keyword search or multi-keyword search with static keyword dictionary. There is a greater overhead in updating the index file or the keyword dictionary when new
traditional searchable symmetric encryption schemes allow users to securely search over encrypted data through keywords and selectively retrieve files of interest without capturing any relevance of data files or search keywords, and fuzzy keyword search on encrypted data allows minor typos and format inconsistencies, secure
information are provided to user if user demands for it. Search queries are the most important part in searching data on internet. A search query consists of one or more than one keywords. A search query is searched from the database for exact match, and the traditional searchable schemes do not tolerate minor typos and format
Cloud computing has emerged as a major way of reducing the information technology costs incurred by organizations. For a cost-sensitive organization which stores its data in the cloud and retrieves files via keyword search, the primary focus is on the issues of cost effectiveness as well as privacy. Three keyword
-efficiency and privacy. Three secure search protocols, namely Ostrovsky protocol, COPS protocol and EIRQ protocol are discussed in this paper. Each of these protocols incrementally improves upon the basic keyword search. Ostrovsky protocol offers privacy. COPS protocol aggregates the search results and achieves cost efficiency
Cloud computing as an emerging technology trend is expected to reshape the advances in information technology. In this paper, we address two fundamental issues in a cloud environment: privacy and efficiency. We first review a private keyword-based file retrieval scheme proposed by Ostrovsky et. al. Then, based on an
Cloud computing has emerged as a new type of commercial paradigm. As a typical cloud service, each file stored in the cloud is described with several keywords. By querying the cloud with certain keywords, a user can retrieve files whose keywords match his query. An organization that has thousands of users querying the
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