Visualization based malware classification under extreme class imbalance: a transfer learning approach with systematic ablation
Malware detection and classification continues to be a major concern of cybersecurity since threat attackers are refining to come up with more advanced and elusive malicious code. Visualization-based solutions that transform raw binary executables into grayscale images and the use of convolutional neural networks t...