Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system.
Haoyang CaoXin GuoGuan WangPublished in: CoRR (2022)
Keyphrases
- meta learning
- anomaly detection
- high speed
- learning tasks
- inductive learning
- intrusion detection
- model selection
- machine learning algorithms
- detecting anomalies
- anomalous behavior
- decision trees
- network intrusion detection
- machine learning
- unsupervised learning
- feature selection
- data mining
- detect anomalies
- metamodel
- one class support vector machines
- network traffic
- base classifiers
- negative selection algorithm
- databases
- normal behavior
- data mining techniques
- data sets
- intrusion detection system
- dimensionality reduction