A new auto-encoder-based dynamic threshold to reduce false alarm rate for anomaly detection of steam turbines.
Jin Uk KoKyumin NaJoon-Seok OhJaedong KimByeng D. YounPublished in: Expert Syst. Appl. (2022)
Keyphrases
- anomaly detection
- false alarm rate
- intrusion detection
- detecting anomalies
- detection rate
- anomalous behavior
- false alarms
- network intrusion detection
- intrusion detection system
- target detection
- network traffic
- negative selection algorithm
- network anomaly detection
- detect anomalies
- unsupervised learning
- false positive rate
- detection algorithm
- one class support vector machines
- normal behavior
- remote sensing
- data fusion
- motion estimation