Efficient Early Network Intrusion Detection based on Sub-Flow Segmentation

Keyphrases

• Bidirectional Features 33%
• Boundary Features 33%
• Class Imbalance 33%
• Computational Efficiency 33%
• Contextual Features 33%
• Cyber-attacks 33%
• Detection Efficiency 33%
• Detection-based 100%
• Driven Approach 33%
• Early Detection 33%
• False Positive Rate 33%
• Feature Distribution 33%
• Feature Model 33%
• Flow Features 33%
• Flow Segmentation 100%
• Full Flow 33%
• Hybrid Segmentation 33%
• Increasing Complexity 33%
• Intrusion Detection System 33%
• Network Intrusion Detection 100%
• Network Traffic 33%
• Numerical Metric 33%
• Partial Flow 33%
• Performance Efficiency 33%
• Prefix 33%
• Rapid Classification 33%
• Real-time Intrusion Detection 33%
• Real-time Performance 33%
• Segmentation Strategy 33%
• Session Analysis 33%
• Subflow 100%
• Systems-based 33%
• Time Features 33%
• Time-driven 66%

Computer Science

• Class Imbalance 100%
• Computational Efficiency 100%
• Cyber Attack 100%
• Driven Approach 100%
• Early Detection 100%
• Experimental Result 100%
• False Positive Rate 100%
• Intrusion Detection 100%
• Intrusion Detection System 100%
• network intrusion detection 100%
• Network Traffic 100%
• Real Time Performance 100%
• Segmentation Model 100%