Graph Autoencoder-Based Detection of Unseen False Data Injection Attacks in Smart Grids
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47721-8_16
Reference26 articles.
1. An, D., et al.: Data integrity attack in dynamic state estimation of smart grid: Attack model and countermeasures. IEEE Trans. Autom. Sci. Eng. 19(3), 1631–1644 (2022). Jul
2. Zhang, Z., et al.: Cyber-physical coordinated risk mitigation in smart grids based on attack-defense game. IEEE Trans. Power Syst. 37(1), 530–542 (2022). Jan
3. Huang, K., et al.: False data injection attacks detection in smart grid: A structural sparse matrix separation method. IEEE Trans. Netw. Sci. Eng. 8(3), 2545–2558 (2021). Jul.
4. Boyaci, O., et al.: Graph neural networks based detection of stealth false data injection attacks in smart grids. IEEE Syst. J. 16(2), 2946–2957 (2022). Jun
5. Esmalifalak, M., et al.: Detecting stealthy false data injection using machine learning in smart grid. IEEE Syst. J. 11(3), 1644–1652 (2017). Sept
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