Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models.
Nathan VaskaKevin LeahyVictoria HelusPublished in: CASE (2022)
Keyphrases
- anomaly detection
- context dependent
- intrusion detection
- graph embedding
- prior knowledge
- one class support vector machines
- network intrusion detection
- network anomaly detection
- anomalous behavior
- intrusion detection system
- network traffic
- negative selection algorithm
- detect anomalies
- detecting anomalies
- discriminant analysis
- unsupervised learning
- natural language
- training data
- machine learning
- normal behavior
- low dimensional
- knowledge discovery
- reinforcement learning