A three-branch CNN-wavelet-ViT ensemble with soft voting reaches 98.01% accuracy and 0.9742 weighted F1 on Malimg, with wavelet features improving discrimination of similar families.
A comprehensive survey on malware detection techniques,
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ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification
A three-branch CNN-wavelet-ViT ensemble with soft voting reaches 98.01% accuracy and 0.9742 weighted F1 on Malimg, with wavelet features improving discrimination of similar families.