Unsupervised multi scale anomaly detection in streams of events.
Quentin PlessisMasaki SuzukiTakeshi KitaharaPublished in: ICSPCS (2016)
Keyphrases
- anomaly detection
- multiscale
- unsupervised anomaly detection
- unsupervised learning
- streaming data
- novelty detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- semi supervised
- network traffic
- normal behavior
- behavior analysis
- data streams
- detecting anomalous
- computer security
- high dimensional data streams
- intrusion detection system
- supervised learning
- network anomaly detection
- negative selection algorithm
- detect anomalies
- one class support vector machines
- computer vision
- malware detection
- network security
- abnormal events
- network intrusion
- machine learning
- training data
- normal traffic