A Hybrid Network Model for Intrusion Detection Based on Session Patterns and Rate of False Errors.
Se-Yul LeeYong-Soo KimWoongjae LeePublished in: ICCSA (1) (2005)
Keyphrases
- intrusion detection
- network model
- network traffic data
- intrusion detection system
- data mining techniques
- anomaly detection
- network security
- network traffic
- high detection rate
- network intrusion detection
- detecting anomalous
- information security
- neural network
- pattern mining
- computer security
- normal behavior
- artificial immune
- estimation error
- cyber security
- network intrusion
- alert correlation
- false positives and false negatives
- data mining
- fraud detection
- object detection
- information retrieval
- network intrusion detection systems