Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids

Abdulrahman Takiddin; Rachad Atat; Muhammad Ismail; Osman Boyaci; Katherine R. Davis; Erchin Serpedin

doi:10.1109/tetci.2022.3232821

journal article Jun 01, 2023

Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids

Abdulrahman Takiddin

IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 7 No. 3 pp. 618-630 · Institute of Electrical and Electronics Engineers (IEEE)

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Citations

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References

Details

Published: Jun 01, 2023
Vol/Issue: 7(3)
Pages: 618-630
License: View

Authors

A

Abdulrahman Takiddin

Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX, USA

R

Rachad Atat

Department of Electrical & Computer Engineering, Texas A&M University at Qatar, Doha, Qatar

M

Muhammad Ismail

Department of Computer Science, Tennessee Tech University, Cookeville, TN, USA

O

Osman Boyaci

Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX, USA

K

Katherine R. Davis

Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX, USA

E

Erchin Serpedin

Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX, USA

Funding

NSF EPCN Awards Award: 2220346

Cite This Article

Abdulrahman Takiddin, Rachad Atat, Muhammad Ismail, et al. (2023). Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(3), 618-630. https://doi.org/10.1109/tetci.2022.3232821

Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids

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