Construction method and device of network intrusion detection model, equipment and storage medium

The invention discloses a construction method and device of a network intrusion detection model, equipment and a storage medium. The method comprises the following steps: acquiring a first traffic data set of network intrusion detection; wherein the first traffic data set comprises traffic time sequence data of a plurality of continuous sampling periods; preprocessing the first traffic data set to obtain a second traffic data set; performing feature extraction on the second traffic data set through the OfficientNet to obtain an initial feature map; synthesizing a plurality of simulation feature maps based on a domain randomization method and the initial feature map to form a simulation feature map set; and training a pre-constructed deep learning model through the initial feature map and the simulation feature map set to obtain a network intrusion detection model. By adopting the embodiment of the invention, the accuracy of detecting the network attack with less data volume can be improved. 本发明公开了一种网络入侵检测模型的构