Data Stream Clustering for Online Anomaly Detection in Cloud Applications.
Carla SauvanaudGuthemberg SilvestreMohamed KaânicheKarama KanounPublished in: EDCC (2015)
Keyphrases
- anomaly detection
- data streams
- streaming data
- intrusion detection
- detecting anomalies
- unsupervised learning
- stream clustering
- anomalous behavior
- network traffic
- network intrusion detection
- high dimensional data streams
- detecting anomalous
- clustering analysis
- network anomaly detection
- data clustering
- one class support vector machines
- unsupervised anomaly detection
- sliding window
- computer security
- behavior analysis
- negative selection algorithm
- network security
- clustering algorithm
- malware detection
- normal behavior
- cumulative sum
- intrusion detection system
- outlier detection
- data sets
- connectionist systems
- k means
- knowledge discovery
- clustering method
- frequent itemsets
- concept drift
- image segmentation
- network intrusion