Anomaly detection of power Consumption based on waveform feature recognition.
Yijia TangHang GaoPublished in: ICCSE (2016)
Keyphrases
- anomaly detection
- power consumption
- low power
- intrusion detection
- energy efficiency
- power saving
- detecting anomalies
- power management
- unsupervised learning
- network intrusion detection
- anomalous behavior
- data center
- energy saving
- network traffic
- object recognition
- battery life
- one class support vector machines
- power reduction
- network anomaly detection
- network security
- intrusion detection system
- detect anomalies
- feature extraction
- high speed
- feature vectors
- computer vision
- cmos technology
- learning algorithm