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Preserving Smart Grid Integrity: A Differential Privacy Framework for Secure Detection of False Data Injection Attacks in the Smart Grid
March 5, 2024, 3:12 p.m. | Nikhil Ravi, Anna Scaglione, Sean Peisert, Parth Pradhan
cs.CR updates on arXiv.org arxiv.org
Abstract: In this paper, we present a framework based on differential privacy (DP) for querying electric power measurements to detect system anomalies or bad data caused by false data injections (FDIs). Our DP approach conceals consumption and system matrix data, while simultaneously enabling an untrusted third party to test hypotheses of anomalies, such as an FDI attack, by releasing a randomized sufficient statistic for hypothesis-testing. We consider a measurement model corrupted by Gaussian noise and a …
arxiv attacks bad cs.cr data detect detection differential privacy eess.sp electric framework grid injection injection attacks integrity power privacy privacy framework smart smart grid system
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