Detecting False Data Injection Attacks in AC State Estimation
By Gu Chaojun, Panida Jirutitijaroen, Mehul Motani. IEEE Transactions on Smart Grid, 2015
364 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/8f785454876dee3366f77aab028f9a444f45fbc3
How researchers see this paper
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In Artificial Intelligence
- Yunhe Hou
- Zhao Yang Dong
- Guo Chen
- James Jian Qiao Yu
- Victor O. K. Li
- Ahmed S. Musleh
- Kyunghyun Cho
- Graham Neubig
In Computer Networks and Communications
In Control and Systems Engineering
Citations in the corpus
- A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids (2020, methodology): “Direct detection tests were also applied in detecting FDIA such as direct measurements-based KLD (D-KLD) method [87], log-transformation-based KLD (LT-KLD) method [88], and direct measurements-based CUSUM (D-CUSUM) [89], [90].”
- Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks (2018, background): “For a complete comparison, we also present the simulation results of the other ac FDIA detection mechanism proposed in [29].”