NETWORK ATTACK DETECTION METHOD, SYSTEM AND DEVICE BASED ON GRAPH NEURAL NETWORK

摘要

The present disclosure provides a network attack detection method, system and device based on a graph neural network. In some embodiments, the method includes: acquiring a training sample sentence, where the training sample sentence includes at least an attack sample sentence having a network attack behavior; setting a character label for a character in the training sample sentence, and building a label graph of the training sample sentence based on the character label; and training a classification model according to the label graph to obtain a trained classification model, and using the trained classification model to detect a flow of the network attack behavior.