Abstract
We lay out a blueprint of a complete and parameterized threat landscape for data falsification/false data injection attacks on telemetry data collected from Internet of Things/cyberphysical systems applications under zero-trust assumptions, helping to enable better validation of anomaly-based attack detection methods.
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