Use of Triplet-Loss Function to Improve Driving Anomaly Detection Using Conditional Generative Adversarial Network.
Yuning QiuTeruhisa MisuCarlos BussoPublished in: ITSC (2020)
Keyphrases
- anomaly detection
- loss function
- network traffic
- network anomaly detection
- network intrusion
- intrusion detection
- detect anomalies
- detecting anomalies
- pairwise
- network intrusion detection
- unsupervised learning
- anomalous behavior
- support vector
- normal behavior
- network security
- intrusion detection system
- detecting anomalous
- one class support vector machines
- intrusion prevention
- negative selection algorithm
- computer networks
- reproducing kernel hilbert space
- decision trees
- risk minimization
- machine learning
- information extraction
- feature extraction
- image segmentation
- feature selection