Binary code tracing method for multi-granularity information fusion under software gene perspective

The invention belongs to the technical field of network security, and discloses a binary code tracing method for multi-granularity information fusion under a software gene perspective, which comprises the following steps of: 1, extracting a software gene sequence, a software gene and a software gene map of a target program and common information which can be directly extracted from IDA to an sqlite database; 2, carrying out word embedding on the software gene sequence in the sqlite database, and then carrying out bidirectional GRU model training to obtain a feature vector; 3, performing multi-granularity sequence information fusion based on the feature vector obtained after training in the step 2 and information in the sqlite database to obtain a feature vector containing multi-granularity information, and then performing structured learning through graph convolution; 4, mapping the learned hidden layer space feature vector representation to a sample marking space through a full connection layer to serve as a