A partitioning approach to scaling anomaly detection in graph streams.
William EberleLawrence B. HolderPublished in: IEEE BigData (2014)
Keyphrases
- anomaly detection
- streaming data
- intrusion detection
- detecting anomalies
- network traffic
- high dimensional data streams
- anomalous behavior
- unsupervised anomaly detection
- network intrusion detection
- computer security
- network anomaly detection
- intrusion detection system
- network security
- detect anomalies
- unsupervised learning
- detecting anomalous
- one class support vector machines
- cumulative sum
- data streams
- negative selection algorithm
- knowledge discovery
- network intrusion
- malware detection
- genetic algorithm