Abstract: The wide application of the Internet is likely to lead to various kinds of privacy data leakage. In order to solve the problems, a cloud computing down-centric dual differential privacy data protection algorithm is proposed. First, the purpose of accurate collection of private data is achieved by learning the network model of private data transmission channel, and then the method of reconstructing the spatial characteristics of private data is used to obtain the ontological characteristics of private data. Finally, the collected private data is accurately noised through the characteristics of private data to achieve the purpose of accurate protection of private data, and the decentralized dual differential privacy data protection is completed. The experimental results show that the proposed algorithm has high real-time and good security for privacy data protection, and can accurately protect privacy data in different noise environments.

Key words: cloud computing')">

cloud computing, double difference, privacy data, data protection, data feature reconstruction