Drift-Aware Methodology for Anomaly Detection in Smart Grid.
Giuseppe FenzaMariacristina GalloVincenzo LoiaPublished in: IEEE Access (2019)
Keyphrases
- anomaly detection
- smart grid
- network security
- intrusion detection
- cyber security
- power system
- information security
- detecting anomalies
- intrusion detection system
- power grid
- communication networks
- network traffic
- network intrusion detection
- anomalous behavior
- advanced metering infrastructure
- network management
- security issues
- data center
- communication systems
- one class support vector machines
- artificial intelligence
- network anomaly detection
- negative selection algorithm
- unsupervised learning
- detect anomalies
- communication technologies
- critical infrastructure
- smart home
- action recognition
- data collection