The application relates to the technical field of judicial
data security, and discloses a method for safely transferring classified data in a judicial
system based on a
blockchain technology. Multi-source judicial data is collected, sensitive information is identified through a large
language model, and
differential privacy desensitization
processing is adopted; an SM4
encryption and a TLS 1.3 end-to-end security channel are constructed, data hash fingerprints are generated, and the data are written into a consortium chain for storage based on a PBFT
consensus mechanism; a multi-
modal classification engine is designed to extract features and intelligently classify; a
hybrid permission model is established to integrate
XACML policies and Kafka queues, and a dynamic permission control is implemented in combination with an RBAC / ABAC mechanism; a hierarchical
encryption storage architecture is constructed,
homomorphic encryption retrieval and
erasure code distributed storage are adopted; a judicial
knowledge graph is constructed based on a BERT model; a
blockchain audit
system is deployed in combination with an LSTM
anomaly detection and a DREAD
risk assessment model to form a closed-loop
risk control system. The application solves the problems of security risks and privacy leakage in the cross-departmental transfer of judicial data.