Intranet penetration test control method and system based on artificial intelligence

The invention relates to the technical field of network security testing, in particular to an intranet penetration test control method and system based on artificial intelligence, and the method comprises the steps: obtaining the network traffic of each IP address in each to-be-tested network segment at each moment, the network traffic transmission time, and the total network traffic of each to-be-tested network segment; determining penetration test complexity and test complexity consistency of each IP address; determining a pre-distribution adjustment coefficient of each to-be-tested network segment based on the penetration test complexity and the test complexity consistency; determining a penetration test time characteristic value of each to-be-tested network segment based on the deviation condition of the network total flow of each to-be-tested network segment at each moment; determining a standard distribution adjustment coefficient of each to-be-tested network segment; and determining the number of penet