CTGAN-Based Multi-View Learning (CTGAN-MVL) for Intrusion Detection Systems

Keyphrases

• Network Applications 100%
• Intrusion Detection System 100%
• Multi-view Learning 100%
• Conditional Generative Adversarial Network (cGAN) 100%
• NSL-KDD 33%
• Effective Solutions 16%
• Network Traffic 16%
• Feature Selection Methods 16%
• Decision Tree Classifier 16%
• F1 Score 16%
• Synthetic Samples 16%
• Class Imbalance 16%
• Precision-recall 16%
• Network Security 16%
• Intrusion Detection 16%
• Data Augmentation 16%
• Traffic Dataset 16%
• View-specific 16%
• Attack Strategy 16%
• Minority Class 16%
• Detection Scenario 16%
• AutoML 16%
• Systems Methodology 16%
• Network Characteristics 16%
• Multiple Data 16%
• Weighted Ensemble 16%
• Data View 16%
• Class-aware 16%
• Attack Class 16%
• Diverse Features 16%
• Multi-view Feature Representation 16%
• Synthetic Tabular Data 16%
• Feature Ensemble Learning 16%
• Feature Representation Learning 16%
• Rare Attacks 16%

Computer Science

• Generative Adversarial Networks 100%
• Intrusion Detection System 100%
• Multi-View Learning 100%
• Intrusion Detection 40%
• Network Traffic 20%
• Effective Solution 20%
• Feature Extraction 20%
• Feature Selection 20%
• Detection Method 20%
• Network Security 20%
• Class Imbalance 20%
• Ensemble Learning 20%
• Data Augmentation 20%
• Minority Class 20%
• Automated Machine Learning 20%