A lightweight secure conjunctive keyword search scheme in hybrid cloud

作者：He, Heng; Zhang, Ji; Li, Peng; Jin, Yu; Zhang, Tao^*

来源：Future Generation Computer Systems-The International Journal of eScience, 2019, 93: 727-736.

DOI：10.1016/j.future.2018.09.026

• Hybrid cloud
• Conjunctive keyword search
• Attribute-based encryption
• Access control policy

Keyword search over encrypted sensitive data is an essential technique in cloud computing. Many traditional secure retrieval schemes of the encrypted data mainly apply to single file-owner and single retrieval-party scenario, which cannot be used in cloud environment effectively. The emergence of Attribute-Based Encryption (ABE) provides a new solution to deliver secure and multi-parties keyword search over the encrypted data. However, most existing attribute-based keyword search schemes suffer problems, such as, imposed heavy computational burden for file-owner, limited expressive capability of access control policy, supported for single keyword search only, etc. Hence, we present a Lightweight secure Conjunctive Keyword Search scheme in hybrid cloud environment (LCKS) based on ciphertext-policy ABE algorithm, which supports file-owner authorized conjunctive keyword search for multiparties. By delegating most computational tasks to private cloud servers, LCKS enables file-owners to generate keyword index efficiently while delivering a fine-grained access control policy through adopting an expressive tree structure. Both security analysis and performance evaluation show that LCKS is secure, highly efficient, and well suited for hybrid cloud.

• 出版日期2019-4
• 单位武汉科技大学