Privacy-preserving multi-keyword search over the encrypted data for multiple users in cloud computing

Abstract

With the growing popularity of cloud computing technology, data owners are moving towards cloud to outsource their data. It provides large amount of computing and storage with ease of access and economic saving. However, the data is not safe in cloud server as it faces many challenges like access control and privacy. Hence, the data is encrypted before uploading to the cloud to preserve the privacy of sensitive data but search over the encrypted data is a challenging task. A searchable encryption technique is required to search over the encrypted data to maintain the high level of privacy. Recently, many searchable encryption schemes have been proposed but they focused on single owner and single user scenario. In this paper, we propose a new approach for privacy preserving of outsourced data in cloud to support multiple owners and multiple users. Our design is based on the attribute-based encryption and tree based index. We prove the security and the efficiency of our scheme in security and performance analysis respectively.