Reducing the Effects of Deception Attack on GPS Receivers of Phasor Measurement Units using Neural Networks
Journal Title: Electronic and Cyber Defense - Year 2023, Vol 11, Issue 1
Abstract
Accurate timing is one of the key features of the Global Positioning System (GPS), which is employed in many critical infrastructures. Any imprecise time measurement in GPS-based structures, such as smart power grids, and Phasor Measurement Units (PMUs), can lead to disastrous results. The vulnerability of the stationary GPS receivers to the Time Synchronization Attacks (TSAs) jeopardizes the GPS timing precision and trust level. In this paper, the PMU receiver clock deviation monitoring method is used. In this method, a deception and fraud reduction algorithm is presented based on clock deviation observations. A multi-layer perceptron neural network is trained to track clock behavior information behavior and maintain a valid trend under time-synchronization attack conditions that can dramatically mimic clock deviation. Finally, the results were compared with a strong and low-memory RE estimator, which is one of the most recent methods of counteracting TSA, as well as an extended Kalman filter and a Luenberger observer. This indicates the good performance of the proposed method.
Authors and Affiliations
Afsaneh Tavasoli,Niloofar Orouji,Mohammad Reza Mosavi,
Keywords
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