OHODIN - Online Anomaly Detection for Data Streams.
Christian GruhlSven TomfordePublished in: ACSOS-C (2021)
Keyphrases
- anomaly detection
- data streams
- streaming data
- intrusion detection
- detecting anomalies
- high dimensional data streams
- anomalous behavior
- network intrusion detection
- sliding window
- network traffic
- computer security
- detect anomalies
- data sets
- unsupervised anomaly detection
- intrusion detection system
- network anomaly detection
- pattern recognition
- network security
- one class support vector machines
- detecting anomalous
- behavior analysis
- concept drift
- malware detection
- outlier detection
- self organizing maps
- itemsets
- unsupervised learning
- negative selection algorithm
- data analysis
- object recognition
- learning algorithm