SLMAD: Statistical Learning-Based Metric Anomaly Detection.
Arsalan ShahidGary WhiteJaroslaw DiuweAlexandros AgapitosOwen O'BrienPublished in: ICSOC Workshops (2020)
Keyphrases
- statistical learning
- anomaly detection
- intrusion detection
- information theory
- supervised learning
- network intrusion detection
- model selection
- anomalous behavior
- network traffic
- detecting anomalies
- network anomaly detection
- detecting anomalous
- intrusion detection system
- semi supervised learning
- unsupervised learning
- one class support vector machines
- databases
- information theoretic
- training data
- machine learning
- negative selection algorithm
- cluster analysis
- manifold learning
- normal behavior
- artificial intelligence
- detect anomalies
- tensor analysis
- information retrieval