Airport security checkpoint is an important link to ensure the security during passengers' travel. However, with the increase of airports' passenger pressure, it starts to become a problem that limits passenger throughput and increases passengers' waiting time. By data analysis, it shows that ID-check time and scan time submit to normal distribution. On the basis of this, a model based on Monte Carlo simulation is established to describe security check process. By data simulation, the bottleneck of current security process is identified in zone B. More specifically, passengers spend too much time waiting in this area. Based on our previous conclusions, because the model's sensitivity of velocity is high, the first recommendation is that a separate check lane for old people should be set. In case of queue jumping phenomenon, the second recommendation is that strategies such as setting warning lines and even penalty can be taken into action. As for gentle French, because of their leisurely behaviors, the suggested arrival times for French should be ahead.
