Leveraging single board computers for anomaly detection in the smart grid.
Suzanne J. MatthewsAaron St. LegerPublished in: UEMCON (2017)
Keyphrases
- anomaly detection
- smart grid
- intrusion detection
- cyber security
- network security
- detecting anomalies
- anomalous behavior
- network intrusion detection
- intrusion detection system
- power system
- power grid
- network traffic
- communication networks
- unsupervised learning
- information security
- detect anomalies
- data collection
- communication systems
- computer networks
- one class support vector machines
- computer systems
- negative selection algorithm
- advanced metering infrastructure
- databases
- cost effective
- semi supervised
- data mining