Users' Privacy Protection Algorithm and Architecture Based on CAE Integration Platform

Users' privacy protection problems of CAE integration platform based on Super Computation are always the first concern for users who using the platform. Most of the existing privacy protection schemes use the traditional encryption schemes, but massive data processing time of traditional encryption algorithms is too long, and data storage space is very large. To solve these problems, this paper proposed a data privacy protection algorithm based on data scrambling and selective encryption. For identifiable information protection, this paper presents a cloud storage architecture based on Third-party Trusted Server (TPTS), which achieves the isolates the data storage and the personal information management. The middleware server decides whether customers have the right to store personal data according to the storage authentication code provided the trust server. The experiment results show that the proposed algorithm can effectively improve big data encryption and decryption speed and the proposed architecture can not only ensure the security of the data storage, but also well protect users' privacy.