Semantic keyword search based on trie over encrypted cloud data

Searchable encryption is a good solution to search over encrypted cloud data in cloud computing. However, most of existing searchable encryption schemes only support exact keyword search. That means they don't support searching for different variants of the query word, which is a significant drawback and greatly affects data usability and user experience. In this paper, we formalize the problem of semantic keyword-based search over encrypted cloud data while preserving privacy. Semantic keyword-based search will greatly improves the user experience by returning all the documents containing semantically close keywords related to the query word. In our solution, we use the stemming algorithm to construct stem set, which reduces the dimension of index. And the symbol-based trie is also adopted in index construction to improve the search efficiency. Through rigorous privacy analysis and experiment on real dataset, our scheme is secure and efficient.