Privacy Protected Keyword Search Method in Cloud Data

Cloud data owners prefer to outsource documents in an encrypted form for privacy preserving. Therefore, it is essential to develop efficient and reliable cipher text search techniques. In this paper, a hierarchical clustering method is proposed to support more semantistics and meet the command for fast cipher text search with in a big data environment. The proposed hierarchical approach clusters the documents based on the minimum relevance threshold. The results show that with a sharp increase of documents in the data set. The search time of the proposed method increases exponentially. Furthermore, the proposed method has advantage over the traditional method in the rank privacy and relevance of retrieved documents.