Research on a New Attribute Encryption Anonymous Algorithm in Cloud Computing Environment

Abstract

Abstract The attribute encryption anonymous model is used to encrypt data and protect anonymity in cloud computing environment, so as to realize attribute encryption and privacy protection in cloud computing environment. In order to improve the self-adaptability and accurate control of data encryption in cloud computing environment, an anonymous data encryption algorithm based on hyperbolic cyclic mapping is proposed. The priority list control model of adaptive privacy protection for cloud data is constructed. The load balancing control and encryption key design of anonymous big data with hyperbolic cyclic mapping are implemented by using bilinear differential control protocol. The hyperbolic differential equation control and adaptive weighting method are used to construct the key function for anonymous encryption of cloud computing data. The time window and privacy protection protocol of attribute encryption anonymous control is optimized by slot allocation. The encryption anonymous algorithm is improved. Simulation results show that the adaptive equalization performance of attribute anonymous encryption in cloud computing environment is better, the ability of anti-attack is better, and the recall rate of data is better than the traditional method.