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This work formalises stealthy false data injection for city-scale pedestrian sensing, where the map from latent flow to observation is far more rank deficient than in the power and water networks for which stealth has been characterised.
Digital twins can now discriminate between different types of cyberattacks on critical infrastructure, enabling targeted responses instead of costly full shutdowns.