ESAS: An Efficient Semantic and Authorized Search Scheme over Encrypted Outsourced Data
This addresses privacy and access control issues for users and organizations outsourcing sensitive data to cloud servers, representing an incremental advancement in secure data search schemes.
The paper tackles the problem of enabling semantic search and fine-grained access control over encrypted outsourced data by proposing ESAS, which integrates PRSCG and CP-ABE to achieve these functionalities efficiently, with improvements in search efficiency and reduced response time.
Nowadays, a large amount of user privacy-sensitive data is outsourced to the cloud server in ciphertext, which is provided by the data owners and can be accessed by authorized data users. When accessing data, the user should be assigned with the access permission according to his identities or attributes. In addition, the search capabilities in encrypted outsourced data is expected to be enhanced, i.e., the search results can better pre-sent user's intentions. To address the above issues, ESAS, an Efficient Semantic and Authorized Search scheme over encrypt-ed outsourced data, is proposed. In ESAS, by integrating PRSCG (the privacy-preserving ranked search based on con-ceptual graph) and CP-ABE (ciphertext policy attribute-based encryption), semantic search with file-level fine-grained access authorization can be realized. In addition, search authorization can be done in an offline manner, which can improve search efficiency and reduce the response time. The security analysis indicate that the proposed ESAS meets security requirement.