The shared charging pile has the advantages of wide coverage, fast charging, negotiated electricity price, energy saving and environmental protection, and is an important part of the electric vehicle charging service network. With the popularity of electric vehicles and the large increase in the number of private rechargeable makeup accesses, the network security requirements for shared charging makeup systems are also increasing. A network security situational awareness model for shared charging makeup system is proposed. This model introduces network security detection, threat early warning analysis, risk decision response and security trend assessment for shared charging makeup system by introducing machine learning and data mining technology. The location addresses the security risks posed by cyber attacks and security breaches to ensure smooth operation of the shared charging makeup system.

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