Fuzzy keyword search over encrypted cloud data
Wu Yan · Computer Engineering and Applications Journal · 2015
Traditional fuzzy keyword search over encrypted cloud data can search the related documents, however, the search results are not satisfactory. When the user enters correctly, it can not complete similarity search; when the user spelling errors occur, the returned result contains a large number of unrelated documents, seriously wasting bandwidth resources.According to the drawback of the current fuzzy keyword over encrypted cloud data, this paper proposes a novel fuzzy keyword search scheme. Keyword relevance score is calculated and sorted according to the document relevance score, and the top-k documents are returned to the user, reducing unnecessary waste of bandwidth and user time consuming to find effective documentation, providing more effective search results. By introducing dummy trapdoors, increasing the cloud server for document analysis keyword difficulty, the system increases the privacy protection.