Intelligent GPS Spoofing Attack Detection in Power Grids

• URL: http://arxiv.org/abs/2005.04513v1
• Date: Sat, 9 May 2020 20:52:18 GMT
• Title: Intelligent GPS Spoofing Attack Detection in Power Grids
• Authors: Mohammad Sabouri, Sara Siamak, Maryam Dehghani, Mohsen Mohammadi and Mohammad Hassan Asemani
• Abstract summary: GPS is vulnerable to GPS spoofing attack (GSA) In power grids, phasor measurement units (PMUs) use GPS to build time-tagged measurements. In this paper, a neural network GPS spoofing detection (NNGSD) with employing PMU data is presented to detect GSAs.
• Score: 0.7034739490820968
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: 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.

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