Detection of false data injection attacks against state estimation in smart grids based on a mixture Gaussian distribution learning method
One of the most addressed attacks in power networks is false data injection (FDI) which affects monitoring, fault detection, and state estimation integrity by tampering measurement data. To detect such devastating attack, the authors propose a statistical anomaly detection approach based on Gaussian...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-10-01
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| Series: | IET Cyber-Physical Systems |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0013 |