Explainable machine learning for performance anomaly detection and classification in mobile networks.
Juan Marcos RamirezFernando Díez MuñozPablo J. Rojo MaroniVincenzo MancusoAntonio Fernández AntaPublished in: Comput. Commun. (2023)
Keyphrases
- anomaly detection
- machine learning
- mobile networks
- unsupervised learning
- intrusion detection
- pattern recognition
- decision trees
- network anomaly detection
- text classification
- supervised learning
- network intrusion detection
- anomalous behavior
- feature selection
- network traffic
- detecting anomalies
- support vector machine
- one class support vector machines
- network security
- feature space
- wireless networks
- intrusion detection system
- detect anomalies
- data mining
- model selection
- text mining
- evolutionary algorithm
- feature extraction
- databases
- multimedia
- negative selection algorithm