Malware Classification Using Dynamic Cluster Adaptive Aggregation Graph Neural Network with Prototypical Loss Function
Abstract Malware classification is the process of categorizing malicious software into specific families based on its structural and behavioral features. However, malware classification remains challenging due to high code similarity across different families, leading to suboptimal performance. To address this issue, t...