Imbalanced dataset-based echo state networks for anomaly detection.
Qing ChenAnguo ZhangTingwen HuangQianping HeYongduan SongPublished in: Neural Comput. Appl. (2020)
Keyphrases
- anomaly detection
- echo state networks
- imbalanced datasets
- recurrent neural networks
- intrusion detection
- cost sensitive learning
- class distribution
- ensemble methods
- class imbalance
- decision trees
- network intrusion detection
- imbalanced data
- anomalous behavior
- detecting anomalies
- network traffic
- training dataset
- sampling methods
- intrusion detection system
- one class support vector machines
- feature selection algorithms
- cost sensitive
- fraud detection
- feed forward
- semi supervised learning
- neural network
- data sets
- unsupervised learning
- hidden markov models
- machine learning