A multi-expert classification framework for network misuse detection

Keyphrases

• Art Learning 50%
• Attribute Learning 50%
• Attribute Selection 50%
• Classification Framework 100%
• Coding Scheme 50%
• Computer Networks 50%
• Data Communication 50%
• Evolving Technologies 50%
• Existing Techniques 50%
• Expert Classification 100%
• Generalized Learning 50%
• KDD Cup 99 Dataset 50%
• Knowledge Data 50%
• Knowledge Discovery 50%
• Learning Algorithm 50%
• Learning Biases 50%
• Learning Methods 50%
• Malicious Hackers 50%
• Misuse Detection 100%
• Multi-expert 100%
• Network Anomaly 50%
• Proposed Design 50%
• Rapidly Evolving 50%
• Security Privacy 50%
• Selection Algorithm 50%
• System Robustness 50%
• Virus 50%
• World Wide Web 50%

Computer Science

• Attribute Selection 50%
• Classification Framework 100%
• Computer Network 50%
• Data Communication 50%
• Data Mining 50%
• Encoding Scheme 50%
• Knowledge Discovery 50%
• Learning Algorithm 50%
• Malicious Hacker 50%
• Security and Privacy 50%