Study On The Third Party-based Privacy Protection Of Cloud Database

A large amount of data was produced as the development of IT and E-commerce technology, cloud database service for small and medium enterprisesbrings new opportunities to storing those data. Cloud database service has advantages of easy to use, unlimited extensions and so on. In the fields of cloud database service, privacy issue is a critical factor of affecting people accepting and using cloud database service.Protecting the pricacy of users’ data has becoming a challenging in use of the service.This paper mainly focus on the enterprise cloud databaseservice model, researching the cloud database service privacy protection solutions based on the trusted third party, the major works include:(1)Based on the in-depth study of the status of cloud database service research, a privacy protecting framework based on the third party is proposed, according to the charactertics of the relations of attributes leakage users’ information. and a cloud database privacy protection of data segmentation model is constructed baseing on the third party.(2)To the proposed of segment storage,a data segmentation algorithm is proposed which is based on the graph coloring theory. It realizes the lossless discomposition. Based on the Primitive Root properties, a identifier generation algorithm is given and used to rebuilding the data identifier to prevent unauthorized users from reconstructing the user data. For the single sensitive data, a data hiding algorithm using XOR is proposed.(3) Using Hadoop technology as the cloud computing architecture,Hive and HHase as its cloude database, a Hadoop-based cloud database service environment was build. The models and all kinds of algorithms proposed in this paper almost analyzed by experiments and examples. The experiments results show that the improved model is available. By compared with the encryption-based data protection solutions,the efficient of proposed data hiding algorithm is verification. The high feasibility is verification by constrast with the existing research. A prototype system combination with BAE is given.The main conclusions are drawn and the interesting points for future work are provided in the end of dissertation..