Anomaly Detection, Localization and Classification Using Drifting Synchrophasor Data Streams.
A. AhmedK. Sadanandan SajanAnurag SrivastavaY. WuPublished in: IEEE Trans. Smart Grid (2021)
Keyphrases
- anomaly detection
- data streams
- intrusion detection
- streaming data
- unsupervised learning
- network traffic
- detecting anomalies
- high dimensional data streams
- concept drift
- network intrusion detection
- anomalous behavior
- computer security
- network anomaly detection
- one class support vector machines
- machine learning
- feature extraction
- decision trees
- pattern classification
- feature selection
- data sets
- detecting anomalous
- sliding window
- network security
- text classification
- pattern recognition
- intrusion detection system
- model selection
- supervised learning
- feature vectors
- object recognition
- connectionist systems
- classification algorithm
- cumulative sum
- unsupervised anomaly detection
- malware detection
- support vector
- data mining