The Design And Implementation Of Privacy Protection Module In Querying Serviceof Public Cloud

Cloud computing has become an important direction of today’s scientific and technological development. As an emerging computing model, cloud computing attracts a large number of users for its characteristics such as good scalability, low-cost and pay-on-demand. More and more enterprises and users store their services and data into the cloud. However, cloud computing also exposed serious privacy and security problems in its development. Privacy protection has become one of the main obstacles to the development of cloud computing.In order to solve the query privacy protection issues of cloud computing, this paper studies the enhanced privacy protection technology in the public cloud computing environment and solves the problem of privacy protection of query process in the cloud computing environment. For the query stage of cloud computing privacy protection, this paper designs a module which supports enhanced privacy protection. Especially, the paper focuses on the technology "Multi-keyword Ranked Search over Encrypted Cloud Data" that use "coordinate matching" and "secure inner product" to build "encrypted Index" to avoid the leakage of privacy in the query process. This paper describes the privacy protection requirements of the module, and then analyzes the detailed design of the module, and discusses on how to improve the accuracy of querying while maintaining the privacy. Finally, the testing results are presented to show the effectiveness of the implemented module.