On the use of online clustering for anomaly detection in trace streams.
Renato Vertuam NetoGabriel M. TavaresPaolo CeravoloSylvio BarbonPublished in: SBSI (2021)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- streaming data
- anomalous behavior
- network intrusion detection
- unsupervised learning
- unsupervised anomaly detection
- clustering analysis
- detecting anomalous
- computer security
- intrusion detection system
- network traffic
- network security
- one class support vector machines
- network anomaly detection
- behavior analysis
- clustering method
- detect anomalies
- high dimensional data streams
- malware detection
- clustering algorithm
- data streams
- decision trees
- machine learning
- pairwise
- network intrusion
- training set
- genetic algorithm