Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem

Keyphrases

• Classification Problem 100%
• Intrusion Detection System 100%
• Network Intrusion Detection System 100%
• Adversarial Attack 100%
• Imbalanced Classification 100%
• Feature Space 50%
• Optimization Approach 50%
• Network Applications 50%
• Defense Mechanisms 50%
• Performance Prediction 50%
• Final Set 50%
• Centroid 50%
• Informative Features 50%
• Unseen 50%
• State-of-the-art Techniques 50%
• Undersampling 50%
• Classification Model 50%
• Obfuscation 50%
• Machine Learning Based 50%
• Class Imbalance 50%
• Stack Level 50%
• Multiple Clustering 50%
• Majority Class 50%
• Cluster Centroid 50%
• Parameter Analysis 50%
• Cluster-based Undersampling 50%
• Ensemble Clustering 50%

Computer Science

• Classification Problem 100%
• Intrusion Detection System 100%
• Adversarial Machine Learning 100%
• Network Based Intrusion Detection System 100%
• Feature Space 50%
• Objective Function 50%
• Machine Learning 50%
• Learning System 50%
• Predictive Performance 50%
• And-States 50%
• Classification Models 50%
• Network Application 50%
• Class Imbalance 50%
• Majority Class 50%
• Cluster Centroid 50%
• Connection Payload 50%