Training method, system, application method and system of DGA domain name detection model

The invention relates to a training method, system, application method and system of a DGA domain name detection model, and belongs to the technical field of domain name detection. Dividing the domain name data according to characters to obtain a domain name character sequence; performing word segmentation processing on the domain name data to obtain a domain name word segmentation sequence; labeling a semantic tag for each element in the domain name word segmentation sequence to obtain a semantic tag sequence; combining the domain name character sequence with the semantic tag sequence to obtain a domain name character expansion sequence; constructing a DGA domain name detection model based on a convolutional neural network and a long-short-term memory neural network; determining a loss function according to the output of the DGA domain name detection model and the actual category of the domain name corresponding to the domain name character expansion sequence; and optimizing the parameters of the DGA domain