A Nested-Cascade Machine Learning Based Model for Intrusion Detection Systems

Keyphrases

• Machine Learning Models 100%
• Intrusion Detection System 100%
• Cyber-attacks 100%
• Synthetic Minority Oversampling Technique (SMOTE) 100%
• Attack Strategy 66%
• Binary Classifier 66%
• Dynamic Nature 33%
• Ensemble Methods 33%
• Recall Score 33%
• Initialize 33%
• Cybersecurity 33%
• Dual Strategy 33%
• Cascade Model 33%
• One-vs-One 33%
• Cascade Classification 33%
• Imbalanced Data 33%
• Specific Attack 33%
• Model Evaluation 33%
• Accuracy Measure 33%
• Class Disparity 33%
• Imbalanced Classes 33%
• UNSW-NB15 33%
• Fl Score 33%

Computer Science

• Intrusion Detection System 100%
• Machine Learning 100%
• Learning System 100%
• Cyber Attack 100%
• binary classifier 66%
• Performance Model 33%
• Cybersecurity 33%
• Ensemble Technique 33%
• Sequence Classification 33%

INIS

• datasets 100%
• machine learning 100%
• intrusion detection systems 100%
• accuracy 66%
• dynamics 33%
• performance 33%
• classification 33%
• metrics 33%
• efficiency 33%