The application provides a method and
system for intelligent collaborative defense against identity spoofing attacks, aiming to improve identity security and
resource scheduling efficiency in cross-domain communication. The method includes: when a user registers, an
authentication center generates a key pair,
encryption parameters and an identity
certificate and stores them in a slave chain; a
key generation center (KGC) preloads factors containing private keys to a roadside unit (RSU); when a user initiates a pseudonym generation request, the RSU forwards it to a dynamically designated
edge computing unit, and simultaneously sends a parallel request to a
base station; an intelligent collaborative platform uses an AI model to predict the computing power of the
base station group and the resource status of the edge unit in real time, dynamically schedules
remote data transmission and cloud sharing, and assigns the edge unit to calculate pseudonym generation parameters; the user generates a pseudonym and a key pair based on the parameters, and signs and encrypts a message; when the recipient verifies the message, the edge unit verifies the legality of the pseudonym, and cooperatively queries the identity
certificate through the master-slave chain, and finally verifies the validity of the signature. The application significantly improves the defense capability against spoofing attacks and the
system response efficiency through an AI-driven multi-level resource
collaboration and dynamic scheduling mechanism.