The invention provides a computer remote login identification method and
system based on
artificial intelligence, and the method comprises the steps: obtaining the initial state data of a target login terminal in response to a remote login request of a user, generating a three-dimensional feature
tensor through a graph neural network based on the initial state data, and storing the three-dimensional feature
tensor in a
database; the three-dimensional feature
tensor is used for representing the safety state of the equipment; during the duration of the remote session, acquiring a multi-
modal data stream in real time, and performing spatial-temporal
feature fusion on the multi-
modal data stream to generate a dynamic
state vector; performing comparative learning on the three-dimensional feature tensor and the dynamic
state vector to generate a risk
score; and sending a dynamic identification response instruction to the target login terminal based on the risk
score, wherein the dynamic identification response instruction is used for indicating the target login terminal to identify the identity of the
current user. By adopting the method, the state information of the target equipment can be continuously acquired in the whole remote session period, and
dynamic monitoring and real-time evaluation of security risks are realized.