Name
Title | ||
|---|---|---|
Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks. |
Abstract | ||
|---|---|---|
State estimation is critical to the operation and control of modern power systems. However, many cyber-attacks, such as false data injection attacks, can circumvent conventional detection methods and interfere the normal operation of grids. While there exists research focusing on detecting such attacks in dc state estimation, attack detection in ac systems is also critical, since ac state estimati... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TII.2018.2825243 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
State estimation,Power systems,Transmission line measurements,Informatics,Power measurement,Transforms,Feature extraction | Data mining,Injection attacks,Computer science,Electric power system,Real-time computing,Feature extraction,Temporal database,Artificial neural network,Deep neural networks,Wavelet transform | Journal |
Volume | Issue | ISSN |
14 | 7 | 1551-3203 |
Citations | PageRank | References |
14 | 0.61 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| James J. Q. Yu | 1 | 176 | 14.87 |
| Yunhe Hou | 2 | 114 | 22.07 |
| Li, V.O.K. | 3 | 4160 | 695.00 |