Towards an Interpretable Autoencoder: A Decision-Tree-Based Autoencoder and its Application in Anomaly Detection.
Diana Laura AguilarMiguel Angel Medina-PérezOctavio Loyola-GonzálezKim-Kwang Raymond ChooEdoardo Bucheli-SusarreyPublished in: IEEE Trans. Dependable Secur. Comput. (2023)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- unsupervised anomaly detection
- anomalous behavior
- network intrusion detection
- behavior analysis
- intrusion detection system
- network traffic
- network security
- computer security
- one class support vector machines
- network anomaly detection
- detecting anomalous
- detect anomalies
- unsupervised learning
- malware detection
- outlier detection
- network intrusion
- misuse detection