A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data.
Markus UlmerJannik ZgraggenLilach Goren HuberPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- machine learning
- data analysis
- data sets
- data points
- data assimilation
- anomalous behavior
- detecting anomalies
- network intrusion detection
- streaming data
- intrusion detection
- data processing
- behavior analysis
- learning algorithm
- network traffic
- input data
- malware detection
- data sources
- training data
- one class support vector machines
- detecting anomalous