A distributed intelligent
authentication method based on dynamic multi-
modal fusion relates to the field of
network security, and adopts an alliance chain + DAG
hybrid block chain architecture, combines a threshold signature to realize secret key fragment management, and switches among PBFT, Raft and probabilistic algorithms through a dynamic
consensus mechanism to improve
authentication efficiency. The multi-mode
authentication module is based on a dynamic
weight distribution algorithm, integrates biological characteristics, behavior analysis, equipment fingerprints and environmental factors, and combines an LSTM-GAN model and a
quantum random number driven challenge-response mechanism to realize zero-trust
verification under
environmental perception. The
session management module generates a
session key by using a
chaotic mapping algorithm. In the aspect of
privacy protection, CKKS
homomorphic encryption, zero-knowledge proof and attribute-based
encryption are fused. According to the method, the block chain technology, the secure multi-party computing technology, the
machine learning technology and the
quantum cryptography technology are fused, and a high-performance, high-security and strong-privacy-protection distributed authentication solution is provided.