Multi-owner Secure Encrypted Search Using Searching Adversarial Networks

Searchable symmetric encryption (SSE) for multi-owner model draws much attention as it enables data users to perform sear ches over encrypted cloud data outsourced by data owners. However, im plement-ing secure and precise query, efficient search and flexible dyn amic system maintenance at the same time in SSE remains a challenge. To ad dress this, this paper proposes secure and efficient multi-keyword ranked search over encrypted cloud data for multi-owner model based on sea rching adversarial networks. We exploit searching adversarial netw orks to achieve optimal pseudo-keyword padding, and obtain the optimal gam e equilibrium for query precision and privacy protection strength. M aximum likelihood search balanced tree is generated by probabilistic l earning, which achieves efficient search and brings the computational compl exity close to O (log N). In addition, we enable flexible dynamic system maintenanc e with balanced index forest that makes full use of distribute d computing. Compared with previous works, our solution maintains query precision above 95% while ensuring adequate privacy protection, and i ntroduces low overhead on computation, communication and storage.