Confusing-Keyword Based Secure Search over Encrypted Cloud Data

As an important way of communication, the wireless network has brought great convenience to people’s life because of its rapid development. It is a hot topic to protect the data of the wireless network stored in the cloud. In order to solve the problem, this paper presents a privacy protection scheme based on confusing keyword. Based on user history retrieval data, the choosing and embedding of confusing keyword can be selectively implemented. Different from adding random values at the end of the vectors which was generated in other schemes, the embedding time of confusing keyword is selected before the generation of vectors in this paper, so as to truly achieve “random” effect and protect user privacy. In order to eliminate the unrelated documents caused by the matching of confusing keyword, this paper proposes a secondary search scheme based on confusing keyword in scheme 2. Through the construction of two trapdoors, two screenings are performed to ensure the accuracy of the data. Experiments based on real data demonstrate the effectiveness of the two schemes in this paper.