xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Models.
Kiran BuschTimotheus KampikHenrik LeopoldPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- intrusion detection
- network intrusion detection
- network traffic
- one class support vector machines
- anomalous behavior
- domain specific
- detecting anomalies
- event logs
- feature selection
- unsupervised learning
- process model
- network anomaly detection
- detect anomalies
- network security
- intrusion detection system
- data mining
- knn
- probabilistic model
- pattern recognition
- learning algorithm