<p>Phasor measurement units, also known as synchrophasors, are a vital component within smart grids to determine the stability of the grid. These devices send synchrophasor data to phasor data concentrators that collate and analyse the data. Recently, synchrophasor communication data has become beneficial for the research community. However, datasets covering cyberattacks on synchrophasor data are not public. Having access to this data would aid in investigating mitigations against cyberattacks. This paper describes a public specialized&#xa0;dataset, known as ECU-PMU-FDI/TSA. The dataset contains synchrophasor communication data for cybersecurity mitigation testing. Three hours of communication data was captured, from a simulated testbed. The first hour is “benign" traffic, meaning the phasor measurement unit sends synchrophasor data to the phasor data concentrator. The subsequent hours cover two separate attacks occurring on the communications, namely, a false data injection attack and a time synchronisation attack. The dataset was validated based on past literature and machine learning algorithms. This paper outlines the methods for capturing the data, the data itself, and the validation of the data.</p>

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Dataset for integrity attacks on time synchronized synchrophasor data

  • Taylah Griffiths,
  • Mohiuddin Ahmed,
  • Chadni Islam

摘要

Phasor measurement units, also known as synchrophasors, are a vital component within smart grids to determine the stability of the grid. These devices send synchrophasor data to phasor data concentrators that collate and analyse the data. Recently, synchrophasor communication data has become beneficial for the research community. However, datasets covering cyberattacks on synchrophasor data are not public. Having access to this data would aid in investigating mitigations against cyberattacks. This paper describes a public specialized dataset, known as ECU-PMU-FDI/TSA. The dataset contains synchrophasor communication data for cybersecurity mitigation testing. Three hours of communication data was captured, from a simulated testbed. The first hour is “benign" traffic, meaning the phasor measurement unit sends synchrophasor data to the phasor data concentrator. The subsequent hours cover two separate attacks occurring on the communications, namely, a false data injection attack and a time synchronisation attack. The dataset was validated based on past literature and machine learning algorithms. This paper outlines the methods for capturing the data, the data itself, and the validation of the data.