Cyber Attack Detection in PMU Networks Exploiting the Combination of Machine Learning and State Estimation-Based Methods
Author:
Affiliation:
1. Shiraz University,School of Electrical and Computer Engineering,Shiraz,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9663732/9664018/09664189.pdf?arnumber=9664189
Reference22 articles.
1. False data injection attacks identification for smart grids
2. Enhancing Robustness to Cyber-Attacks in Power Systems Through Multiple Least Trimmed Squares State Estimations
3. Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks
4. Extended Distributed State Estimation: A Detection Method against Tolerable False Data Injection Attacks in Smart Grids
5. BMI-Based Load Frequency Control in Microgrids Under False Data Injection Attacks
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Multi‐data classification detection in smart grid under false data injection attack based on Inception network;IET Renewable Power Generation;2024-08-29
2. Local detection of replay attacks and data anomalies on PMU measurements of smart power grids via tracking critical dynamic modes;International Journal of Electrical Power & Energy Systems;2024-08
3. Cyber Threats to Smart Grids: Review, Taxonomy, Potential Solutions, and Future Directions;Energies;2022-09-17
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