A multi-expert classification framework with transferable voting for Intrusion Detection

Keyphrases

• Classification Framework 100%
• Intrusion Detection System 100%
• Intrusion Detection 100%
• Expert Classification 100%
• Multi-expert 100%
• Learning Algorithm 50%
• Attribute Selection 50%
• Existing Techniques 50%
• Learning Methods 50%
• Proposed Design 50%
• Misclassification Cost 50%
• System Robustness 50%
• System Method 50%
• Basic Protection 50%
• Classifier Combination 50%
• Art Learning 50%
• Antivirus 50%
• Computer Networks 50%
• Defense Technology 50%
• KDD Cup 99 Dataset 50%
• Attribute Learning 50%
• Firewall 50%
• Network Anomaly 50%
• Selection Algorithm 50%
• Voting Approach 50%
• Knowledge Discovery 50%
• Detection Efficiency 50%
• Network Security 50%
• Knowledge Data 50%
• Malicious Behavior 50%

Computer Science

• Intrusion Detection System 100%
• Intrusion Detection 100%
• Classification Framework 100%
• Learning Algorithm 50%
• Data Mining 50%
• Critical Component 50%
• Antivirus 50%
• Malicious Activity 50%
• Attribute Selection 50%
• Computer Network 50%
• Sized Organization 50%
• Knowledge Discovery 50%
• Processing Overhead 50%
• Network Security 50%
• Firewall 50%