FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection.
Jia LiShimin DiYanyan ShenLei ChenPublished in: WSDM (2021)
Keyphrases
- anomaly detection
- intrusion detection
- unsupervised learning
- detect anomalies
- unsupervised anomaly detection
- network intrusion detection
- anomalous behavior
- detecting anomalies
- novelty detection
- behavior analysis
- computer security
- network traffic
- intrusion detection system
- one class support vector machines
- data sets
- high dimensional
- network anomaly detection
- negative selection algorithm
- neural network