Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding.
Julius VenskusPovilas TreigysJolita BernatavicieneGintautas TamuleviciusViktor MedvedevPublished in: Sensors (2019)
Keyphrases
- anomaly detection
- network traffic
- data embedding
- intrusion detection
- detect anomalies
- network intrusion detection
- anomalous behavior
- detecting anomalies
- normal traffic
- data hiding
- one class support vector machines
- intrusion detection system
- manifold learning
- co occurrence
- negative selection algorithm
- data mining
- normal behavior
- unsupervised learning
- optical flow
- video sequences