A Unified Deep Learning Anomaly Detection and Classification Approach for Smart Grid Environments.
Ilias SiniosoglouPanagiotis I. Radoglou-GrammatikisGeorgios EfstathopoulosPanagiotis E. FoulirasPanagiotis G. SarigiannidisPublished in: IEEE Trans. Netw. Serv. Manag. (2021)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- network traffic
- machine learning
- anomalous behavior
- pattern recognition
- grid environment
- intrusion detection system
- supervised learning
- detect anomalies
- model selection
- one class support vector machines
- text classification
- knowledge discovery
- feature vectors
- training set
- feature selection
- learning process
- resource management
- weakly supervised
- feature space
- object recognition
- support vector
- reinforcement learning
- feature extraction