Due to the dynamics and uncertainty of the current network environment, access control is one of the most important factors in guaranteeing network information security. How to construct a scientific and accurate access control model is a current research focus. In actual access control mechanisms, users with high trust values bring better benefits, but the losses will also be greater once cheating access is adopted. A general access control game model that can reflect both trust and risk is established in this paper. First, we construct an access control game model with user behavior trust between the user and the service provider, in which the benefits and losses are quantified by using adaptive regulatory factors and the user’s trust level, which enhances the rationality of the policy making. Meanwhile, we present two kinds of solutions for the prisoner’s dilemma in the traditional access control game model without user behavior trust. Then, due to the vulnerability of trust, the user’s trust value is updated according to the interaction situation in the previous stage, which ensures that the updating of the user’s trust value can satisfy the “slow rising-fast falling” principle. Theoretical analysis and the simulation experiment both show that this model has a better performance than a traditional game model and can guarantee scientific decision-making in the access control mechanism.