Unravel Anomalies: an End-to-End Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection.
Zhenwei ZhangRuiqi WangRan DingYuantao GuPublished in: ICASSP (2024)
Keyphrases
- end to end
- anomaly detection
- detect anomalies
- detecting anomalies
- intrusion detection
- anomalous behavior
- unsupervised anomaly detection
- network intrusion detection
- network traffic
- admission control
- intrusion detection system
- network security
- congestion control
- negative selection algorithm
- detecting anomalous
- data sets
- network anomaly detection
- cumulative sum
- neural network
- computer networks
- streaming data
- unsupervised learning
- high dimensional
- one class support vector machines