User´s Behavior Trust Evaluate Algorithm Based on Cloud Model

Cloud computing is developing rapidly and the open environment in cloud computing is much more complex and unpredictable than other applications, so just providing the identity certification cannot ensure the security of cloud user and cloud service provider, in order to find a effective way to ensure cloud security, we have to solve the problem of trustiness of cloud user´s behavior first, in this paper, we propose a dynamic trust evaluate method to deal with cloud user´s bahavior, through using Entropy Method to reflect the essential regular patterm of user´s behavior evidence, making the evaluate way become a dynamic model, weaken the subjectivity of simply using AHP, moreover, still need AHP to make the result fit people´s subjective experience, so we also put forward a integrate algorithm that combine Entropy Method and AHP, in this way, the final evaluate value will keep the balance between objective and subjective and provide quantitative analysis foundation for security control, The simulation shows that the dynamic trust evaluate method can effectively distinguish user´s abnormal behavior.