Journal
IEEE DESIGN & TEST
Volume 37, Issue 5, Pages 67-74Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MDAT.2019.2952357
Keywords
Anomaly detection; Current measurement; Sensors; Correlation; Time measurement; Phasor measurement units; Real-time systems; Cybersecurity; false data injection attacks; state estimation; outlier detection; dimensionality reduction
Funding
- Florida State University (FSU) Planning Grant
- New York University Abu Dhabi (NYUAD) Global Fellowship
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Editor's notes: CPSs are vulnerable to process-aware attacks that aim to disrupt the proper functioning or hamper performance/efficiency/stability/safety of the physical systems/processes of the CPSs. This article considers utilization of state estimators in smart grids for detection of false data injection attacks using data-driven anomaly detection. Based on a local outlier factor approach, it is shown that false data injection attacks can be reliably detected without requiring prior information on power system parameters or topology. Simulation studies on an IEEE 14-bus system show the efficacy of the approach. -Farshad Khorrami, New York University
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