Drift-aware Anomaly Detection for Non-stationary Time Series.
Yang GaoYing LiYang LiZunlei FengMingli SongXingyu WangChun ChenPublished in: BigData (2023)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- intrusion detection system
- network intrusion detection
- computer security
- unsupervised anomaly detection
- one class support vector machines
- behavior analysis
- concept drift
- detecting anomalous
- detect anomalies
- network anomaly detection
- negative selection algorithm
- network security
- action recognition
- unsupervised learning
- data processing
- network intrusion
- real world
- malware detection
- maximum likelihood
- support vector machine
- face recognition
- machine learning