Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data.
Nicola Di MauroStefano FerilliPublished in: ISMIS (2018)
Keyphrases
- anomaly detection
- network traffic
- unsupervised learning
- intrusion detection
- traffic data
- supervised learning
- connectionist systems
- unsupervised anomaly detection
- dimensionality reduction
- semi supervised
- learning algorithm
- feature selection
- intrusion detection system
- network intrusion detection
- network anomaly detection
- machine learning
- databases
- training data
- computer vision
- traffic flow
- travel time
- anomalous behavior
- one class support vector machines