Dynamic management of a deep learning-based anomaly detection system for 5G networks.
Lorenzo Fernández MaimóAlberto Huertas CeldránManuel Gil PérezFélix J. García ClementeGregorio Martínez PérezPublished in: J. Ambient Intell. Humaniz. Comput. (2019)
Keyphrases
- mental models
- deep learning
- anomaly detection
- intrusion detection
- anomalous behavior
- network intrusion detection
- detecting anomalies
- detect anomalies
- negative selection algorithm
- unsupervised learning
- network traffic
- network anomaly detection
- one class support vector machines
- intrusion detection system
- computer networks
- real world
- decision support
- maximum likelihood
- image processing
- feature selection