Network asset fingerprint identification method and device based on deep learning

The invention provides a network asset fingerprint identification method and device based on deep learning, and belongs to the technical field of network security, and the method comprises the steps: obtaining to-be-identified network asset data; preprocessing the to-be-identified network asset data to obtain first text information and at least one piece of first label information corresponding to the to-be-identified network asset data; identifying the first text information and the first label information based on a network asset fingerprint identification model to obtain at least one piece of network asset fingerprint information corresponding to the to-be-identified network asset data; the network asset fingerprint identification model is obtained by training a training sample set based on an attention mechanism and a recurrent neural network; the training sample set comprises network asset fingerprint data of the network asset platform. According to the network asset fingerprint identification method bas