Discriminating and visualizing anomalies using negative selection and self-organizing maps.
Fabio A. GonzálezJuan Carlos GaleanoDiego Alexander RojasAngélica Veloza-SuanPublished in: GECCO (2005)
Keyphrases
- self organizing maps
- negative selection
- real valued
- artificial immune
- artificial immune system
- hybrid method
- clonal selection
- clonal selection algorithm
- anomaly detection
- network intrusion detection
- neural network
- natural selection
- intrusion detection
- input data
- unsupervised learning
- interactive visualization
- neural gas
- swarm intelligence
- function optimization
- computational intelligence
- data sets
- genetic algorithm
- k means
- network anomaly detection
- artificial intelligence