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Research Article Open Access
In cloud computing, data owners may share their outsourced data with a number of users, who might want to only retrieve the data files they are interested in. One of the most popular ways to do so is through keywordbased retrieval. We propose a new searchable encryption scheme, in which novel technologies in cryptography community, including ECC encryption and the vector space model. In the proposed scheme, the data owner encrypts the searchable index with kNN. When the cloud server receives a query consisting of multikeywords, it computes the scores from the encrypted index stored on cloud and then returns the encrypted scores of files to the data user. Next, the data user decrypts the scores and picks out the top-k highest- scoring files’ identifers to request to the cloud server. The retrieval takes a two-round communication between the cloud server and the data user. The scheme, the privacypreserving multi-keyword ranked search over encrypted data in cloud computing scheme, in which ranking is done at the user side while scoring calculation is done at the server side.Thorough analysis investigating privacy and efficiency guarantees ofproposed schemes is given. Experiments on the real-world data set further show proposed schemes indeed introduce lowoverhead on computation and communication.