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papersSEP 11 04:00 UTC

Blind False Data Injection Attacks Reframed via Cycle Space and Manifold Analysis

A new arXiv paper examines false data injection attacks that alter a power grid's estimated state while staying hidden from residual-based bad data detectors. Rather than relying on the usual low-rank measurement subspace view, the authors analyze the problem through cycle space and cycle manifolds to characterize when such blind attacks are possible and what limits them. The work connects these algebraic and geometric formulations to the physical constraints of the grid.

bad-data-detection cycle-space false-data-injection-attacks manifold-analysis power-grid-security power-system-state-estimation

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arXiv cs.LGFrom Cycle Space to Cycle Manifold: Limits and Achievability of Blind False Data Injection Attacks ↗SEP 11 04:00 UTC