Enabling Efficient Multi-Keyword Ranked Search Over Encrypted Mobile Cloud Data Through Blind Storage - 2015


In mobile Cloud Computing, a elementary application is to outsource the mobile data to external cloud servers for scalable data storage. The outsourced information, but, want to be encrypted thanks to the privacy and confidentiality considerations of their owner. This results in the distinguished difficulties on the correct search over the encrypted mobile cloud data. To tackle this issue, in this paper, we develop the searchable encryption for multi-keyword ranked search over the storage data. Specifically, by considering the big number of outsourced documents (data) within the cloud, we have a tendency to utilize the relevance score and k-nearest neighbor techniques to develop an efficient multi-keyword search scheme that may return the ranked search results primarily based on the accuracy. At intervals this framework, we have a tendency to leverage an economical index to any improve the search potency, and adopt the blind storage system to hide access pattern of the search user. Security analysis demonstrates that our theme will achieve confidentiality of documents and index, trapdoor privacy, trapdoor unlinkability, and concealing access pattern of the search user. Finally, using extensive simulations, we have a tendency to show that our proposal can achieve a lot of improved potency in terms of search functionality and search time compared with the prevailing proposals.

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