As 5G communication technology becomes more mature and more widely used, countless infrastructures will be connected to the network. Shifting computing tasks from user equipment (UE) to the edge of the network, the need for mobile edge computing (MEC) to break hardware and resource constraints is increasing. However, when many users offload tasks to the edge server, the network load and transmission interference will increase, so this paper proposes a security edge computing offload model for 5G cellular networks. In this model, we novel consider safety and cost costs. In addition to these factors, energy consumption and delay are the main considerations for this model. To verify the validity of our model, a simulation experiment was designed. Simulation results show that this model can achieve multi-objective optimization of energy consumption, delay, security, and cost in a 5G environment, significantly reduce energy consumption, and achieve resource optimization decisions.