  The GPS is vulnerable to GPS spoofing attack (GSA), which leads to disorder
in time and position results of the GPS receiver. In power grids, phasor
measurement units (PMUs) use GPS to build time-tagged measurements, so they are
susceptible to this attack. As a result of this attack, sampling time and phase
angle of the PMU measurements change. In this paper, a neural network GPS
spoofing detection (NNGSD) with employing PMU data from the dynamic power
system is presented to detect GSAs. Numerical results in different conditions
show the real-time performance of the proposed detection method.
