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Authentication technology in the cloud environment cannot completely prevent the destruction of malicious users to cloud resources. The analysis and evaluation of the user behavior has become the key to effectively improve the security of cloud. This paper improves a multiparameter behavior trust model (MTEM), which based on Beth model and Josang model. The MTEM model introduces a number of parameters involved in the transaction process of users and cloud service providers. Furthermore, we calculate the behavior weight value by using AHP, through fuzzy logic analysis of user behavior. According to the principle of maximum membership degree, we verified the feasibility and validity of the model by simulation. The simulation results show that the MTEM model can improve the detection accuracy of user's malicious behavior and the effectiveness of the users.

A Behavior Trust Model based on Fuzzy Logic in Cloud Environment