Author(s)

Wenping Chen, Hongzhen Cui, Linlin Wang and Fanqing Meng

Corresponding Author

Wenping Chen

ABSTRACT

In order to ensure data security and user privacy in the cloud, many companies and users store important data in the form of ciphertext. Therefore, how to efficiently and comprehensively search cloud ciphertext data without decryption has become the focus of research. In this paper, an effective and secure privacy protection scheme is proposed for outsourcing ciphertext data. The scheme uses a probabilistic public key encryption algorithm to encrypt data, and implements a multi-keyword sorting and keyword expansion search function in the retrieval process of encrypted data. The scheme uses the Apriori algorithm to expand the search keywords, and finds the ciphertext that is more in line with the user's needs through the expanded keyword set. Experiments show that this scheme can improve the speed of file encryption and decryption, document recall and accuracy, and reduce communication overhead

KEYWORDS

Ciphertext retrieval, keyword extension, multi-keyword ranking