Malicious Code Detection Based on AST Multidimensional Feature Fusion and Dynamic Graph Optimization

This paper addresses key issues in current malicious code detection technologies, such as insufficient feature modeling, lack of high-order correlation, and poor adaptability. We propose a novel method for detecting malicious code based on abstract syntax tree (AST) multi-dimensional feature fusion