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arXiv · 1905.02271

Can Predictive Filters Detect Gradually Ramping False Data Injection Attacks Against PMUs?

Zhigang Chu·Andrea Pinceti·Reetam Sen Biswas·Oliver Kosut·Anamitra Pal·Lalitha Sankar
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Abstract

Intelligently designed false data injection (FDI) attacks have been shown to be able to bypass the $\chi^2$-test based bad data detector (BDD), resulting in physical consequences (such as line overloads) in the power system. In this paper, it is shown that if an attack is suddenly injected into the system, a predictive filter with sufficient accuracy is able to detect it. However, an attacker can gradually increase the magnitude of the attack to avoid detection, and still cause damage to the system.

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Zhigang Chu, Andrea Pinceti, Reetam Sen Biswas, Oliver Kosut, Anamitra Pal, Lalitha Sankar. 2019-05-06. Can Predictive Filters Detect Gradually Ramping False Data Injection Attacks Against PMUs?. https://arxiv.org/abs/1905.02271

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