Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest.
Mattia CarlettiMatteo TerziGian Antonio SustoPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- anomaly detection
- feature importance
- random forest
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- feature selection
- network traffic
- network security
- intrusion detection system
- relevance feedback
- unsupervised learning
- semi supervised
- unsupervised anomaly detection
- network anomaly detection
- detecting anomalous
- text mining
- normal behavior
- one class support vector machines
- dimensionality reduction
- data sets
- detect anomalies
- network intrusion
- high dimensional
- decision trees
- connectionist systems