An Anomaly Detection Model Based on Immune Network with Variable Any-R-Intervals Matching Rule.
Xiaoke FengZhuo SunBin LiPublished in: CSPS (1) (2018)
Keyphrases
- anomaly detection
- immune network
- intrusion detection
- detecting anomalies
- network intrusion detection
- network traffic
- intrusion detection system
- anomalous behavior
- network anomaly detection
- dynamical systems
- one class support vector machines
- clonal selection
- immune systems
- immune memory
- detect anomalies
- artificial intelligence
- normal behavior
- unsupervised learning
- semi supervised
- fuzzy logic
- probabilistic model
- neural network