Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions.
Daniel L. MarinoChathurika S. WickramasingheCraig RiegerMilos ManicPublished in: IECON (2019)
Keyphrases
- anomaly detection
- smart grid
- data driven
- communication networks
- communication systems
- network security
- intrusion detection
- cyber security
- power system
- network management
- network traffic
- power grid
- information security
- intrusion detection system
- advanced metering infrastructure
- network intrusion detection
- anomalous behavior
- communication technologies
- detecting anomalies
- expectation maximization
- security issues
- unsupervised learning
- computer networks
- wireless communication
- network anomaly detection
- negative selection algorithm
- information systems
- data mining
- smart home
- data center
- network structure
- computer systems
- one class support vector machines
- learning algorithm
- detect anomalies
- data streams
- object recognition
- critical infrastructure
- artificial neural networks
- computational intelligence
- smart card