Detection of Compromised Smart Grid Devices with Machine Learning and Convolution Techniques.
Cengiz KaygusuzLeonardo BabunHidayet AksuA. Selcuk UluagacPublished in: ICC (2018)
Keyphrases
- smart grid
- machine learning
- power system
- cyber security
- power grid
- communication technologies
- mobile devices
- communication networks
- advanced metering infrastructure
- communication systems
- information security
- anomaly detection
- supervised learning
- security issues
- artificial intelligence
- smart home
- data warehousing
- data analysis