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

Zhigang Chu and Andrea Pinceti and Reetam Sen Biswas and Oliver Kosut and Anamitra Pal and Lalitha Sankar
2019 arXiv   pre-print
Intelligently designed false data injection (FDI) attacks have been shown to be able to bypass the χ^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.
arXiv:1905.02271v1 fatcat:ojsv24yo3zbz3gs5yktn7tu3vy