Abstract: Aiming at the problem that the prediction accuracy of traditional trust model in cloud computing environment is too low, this paper proposes a method to build user behavior evaluation model in cloud computing environment based on deep learning.The long-term and short-term memory network of prediction residual framework is used to extract the temporal features of users爷access behavior in the cloud computing environment.On this basis, combined with the error mechanism to modify the feature vector, the trust evaluation model of users 爷behavior in the cloud computing environment is constructed.The model can realize real-time monitoring of user behavior security in cloud computing environment, and solve the problem of low trust evaluation of users in cloud computing environment.Experimental results show that the proposed method can effectively improve the accuracy of real-time evaluation of user credibility,and provide data support for later security situation deduction.

Key words: cloud computing environment, trust assessment, prediction-residual framework, long-term and short-term memory network