PROGRAPHER: An Anomaly Detection System based on Provenance Graph Embedding.
Fan YangJiacen XuChunlin XiongZhou LiKehuan ZhangPublished in: USENIX Security Symposium (2023)
Keyphrases
- anomaly detection
- graph embedding
- discriminant analysis
- semi supervised
- intrusion detection
- low dimensional
- dimensionality reduction
- data representation
- network traffic
- anomalous behavior
- detecting anomalies
- unsupervised learning
- network intrusion detection
- metadata
- network anomaly detection
- intrusion detection system
- dictionary learning
- one class support vector machines
- detect anomalies
- feature representation
- geometric properties
- supervised learning
- subspace learning
- feature extraction
- bayesian networks
- feature selection
- computer vision
- data mining
- feature vectors
- neural network
- principal component analysis
- databases