Cyber-Physical Fusion for GNN-Based Attack Detection in Smart Power Grids
Recent research has shown promise in using machine learning for cyberattack detection in power systems. However, current studies face limitations: a) dependence on either physical or cyber features, overlooking multi-modal cyber-physical (CP) correlations; b) unrealistic full observability assumptio...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Open Access Journal of Power and Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11105456/ |
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