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InfoResearchPeer-reviewed
MUSTGL Fusion: Modular Unsupervised Spatio-Temporal Graph Learners With Adaptive Fusion for False Data Injection Attack Detection in Smart Grids
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Summary
MUSTGL Fusion is an unsupervised spatio-temporal graph learning framework for detecting False Data Injection Attacks (FDIAs) in smart grids. It combines four learners, including an Echo State Network for temporal correlations, and flags attacks with an Isolation Forest trained on normalized residuals. On IEEE bus systems it reports F1 scores of 0.770, 0.979, and 0.895 for the 14-, 57-, and 118-bus systems.