Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario

Keyphrases

• Malware 100%
• Malware Detection 100%
• Malware Family 100%
• Unknown Malware 71%
• Open Set Recognition 42%
• Malware Dataset 28%
• Recognition Probability 28%
• Neural Network 14%
• Model Performance 14%
• Probability Distribution 14%
• Recognition System 14%
• Real-world Application 14%
• Challenging Tasks 14%
• Single Classifier 14%
• Representative Method 14%
• Benchmark Dataset 14%
• Unconventional Wells 14%
• Generative Adversarial Networks 14%
• Learning Classifiers 14%
• Cybersecurity 14%
• Robust Training 14%
• Cooperative Training 14%
• Predicted Probability 14%
• Feature Distribution 14%
• Testing Families 14%
• Instance Features 14%
• Security Domain 14%
• Training Scheme 14%

Computer Science

• Malware 100%
• Malware Family 63%
• Unknown Malware 45%
• Open Set Recognition 27%
• Generative Adversarial Networks 9%
• World Application 9%
• Performance Model 9%
• Recognition System 9%
• Practical Solution 9%
• Representative Method 9%
• Security Domain 9%
• Predicted Probability 9%
• Neural Network 9%
• Experimental Result 9%