Machine learning techniques for behavioral feature selection in network intrusion detection systems

Keyphrases

• Machine Learning Techniques 100%
• Behavioral Characteristics 100%
• Feature Selection 100%
• Network Intrusion Detection System 100%
• Attack Strategy 100%
• F-measure 66%
• Network Traffic 66%
• Cyber-attacks 66%
• Random Forest 33%
• Decision Tree 33%
• Specific Types 33%
• Feature Selection Methods 33%
• Complete Set 33%
• System Analysis 33%
• High Sensitivity 33%
• XGBoost 33%
• Detecting Anomalies 33%
• Normal Traffic 33%
• Network Intrusion 33%
• Real Network Environment 33%
• Selective Features 33%

Computer Science

• Machine Learning Technique 100%
• Feature Selection 100%
• Behavioral Feature 100%
• Network Intrusion Detection System 100%
• Feature Extraction 100%
• Network Traffic 66%
• Cyber Attack 66%
• Random Decision Forest 33%
• System Analysis 33%
• Normal Traffic 33%
• Network Environment 33%
• Extreme Gradient Boosting 33%
• Network Intrusion 33%
• Detect Anomaly 33%
• Decision Tree 33%
• Information Systems 33%

INIS

• psychological behavior 100%
• performance 100%
• machine learning 100%
• intrusion detection systems 100%
• intrusion 50%
• environment 25%
• forests 25%
• randomness 25%
• sensitivity 25%
• decision tree analysis 25%
• precision 25%
• information systems 25%
• systems analysis 25%