Abstract: This application relates to a device type identification method performed by a computer device. The method includes: transmitting a port open/closed state probe packet to at least two target devices; receiving port open/closed state information returned by the at least two target devices in response to the port open/closed state probe packet, wherein the port open/closed state information comprises port open/closed state vectors indicating whether each port of the at least two target devices is open or closed; extracting a port open/closed state feature from the port open/closed state information; performing decision classification on the port open/closed state feature through a decision tree classifier; and determining a device type of each of the at least two target devices according to a result obtained from the decision classification.

Abstract: This application provides an artificial intelligence (AI)-based network security protection method and apparatus, an electronic device, and a computer-readable storage medium. The method includes obtaining access traffic that needs to be verified and to be transmitted to a target network address; extracting a data statistical feature of each of a plurality of sessions included in the access traffic that needs to be verified; invoking a neural network model, and based on the data statistical feature of each session, to classify each session as normal or abnormal; identifying a session classified as abnormal in the access traffic that needs to be verified as attack access traffic; and obtaining a source address of the attack access traffic, and screening attack access traffic to be transmitted to the target network address from the source address.