Fuzzy and Semantic Search over Encrypted Data in the Cloud

Cloud computing is becoming more and more popular, many users choose to outsource their data to the cloud. The sensitive data need to be protected before outsourcing, and encryption is usually chosen to protect the data privacy, but it makes the data service such as search a very difficult work. Many searchable encryption schemes are proposed to allow users make effective search over encrypted data. But there is no tolerance of fuzzy and semantic keyword search in one scenario, which greatly affects the search usability. This weakness makes user’s searching experiences very low. In this paper, we propose a privacy preserving fuzzy and semantic keyword search scheme over encrypted data in cloud computing. Fuzzy keyword search ability can allow users input search keyword with small typos, and semantic keyword search ability enable returns the matching documents when users’ search keyword has the semantic relation with the keywords in the documents. In our scheme, we extract the fuzzy and semantic keyword set using the dictionary and WordNet technique. We also prove that our scheme is privacy preserving through security analysis.