Hybrid Representation Learning for Robust Multiclass Malware Classification Under Class Imbalance
The increasing sophistication of modern malware, particularly in the form of polymorphic and packed variants, poses significant challenges to traditional detection systems. While machine learning-based approaches have shown promise, many existing methods rely on single feature representations and are evaluated using me...