Enhancing Classification Performance for Android Small Sample Malicious Families Using Hybrid RGB Image Augmentation Method

Keyphrases

• Android 100%
• Classification Performance 100%
• RGB Image 100%
• Image Augmentation 100%
• Malicious Family 100%
• Augmentation Techniques 100%
• Classification Results 60%
• Deep Learning 40%
• Deep Convolutional Generative Adversarial Network (DCGAN) 40%
• Malware Family 40%
• Malware 20%
• F1 Score 20%
• Gaussian Noise 20%
• Research Use 20%
• Malware Detection 20%
• Android Malware Detection 20%
• Family Classification 20%
• Malware Family Classification 20%
• Learning Augmentation 20%
• Computing Speed 20%
• Few Samples 20%
• Noise Augmentation 20%
• Malware Features 20%
• GAN-based Method 20%

Computer Science

• Android 100%
• Classification Performance 100%
• RGB Image 100%
• classification result 100%
• Malware Family 100%
• Malware 66%
• Deep Learning 66%
• Generative Adversarial Networks 66%
• Malware Detection 66%
• Experimental Result 33%
• Convolutional Neural Network 33%
• Gaussian White Noise 33%
• Android Malware 33%

Mathematics

• RGB 100%
• Deep Learning 100%
• Smaller Sample 100%
• Android 100%
• Gaussian Distribution 50%