A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks.
Lorenzo Fernández MaimóÁngel Luis Perales GómezFélix J. García ClementeManuel Gil PérezGregorio Martínez PérezPublished in: IEEE Access (2018)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- anomalous behavior
- unsupervised feature learning
- intrusion detection system
- network intrusion detection
- machine learning
- network traffic
- network anomaly detection
- one class support vector machines
- mental models
- weakly supervised
- supervised learning
- detect anomalies
- dimensionality reduction
- semi supervised
- data mining