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Dataset for integrity attacks on time synchronized synchrophasor data.

Taylah Griffiths1, Mohiuddin Ahmed2, Chadni Islam3

  • 1School of Science, Edith Cowan University, Perth, WA, Australia. t.griffiths@ecu.edu.au.

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Summary
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A new public dataset, ECU-PMU-FDI/TSA, offers synchrophasor data for smart grid cybersecurity research. It includes benign traffic and simulated cyberattacks to aid in developing defenses against grid instability.

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Cybersecurity

Background:

  • Phasor measurement units (PMUs), or synchrophasors, are crucial for smart grid stability monitoring.
  • Existing datasets lack cyberattack scenarios on synchrophasor communication data, hindering research.
  • Publicly available data is needed for developing and testing cybersecurity mitigations.

Purpose of the Study:

  • Introduce the ECU-PMU-FDI/TSA dataset for cybersecurity mitigation testing.
  • Provide a valuable resource for the research community studying smart grid vulnerabilities.
  • Facilitate the investigation of defenses against cyberattacks on synchrophasor data.

Main Methods:

  • Captured three hours of synchrophasor communication data from a simulated testbed.
  • Included one hour of benign traffic and two hours of simulated cyberattacks (false data injection and time synchronization).
  • Validated the dataset using established literature and machine learning algorithms.

Main Results:

  • The ECU-PMU-FDI/TSA dataset is now publicly available.
  • The dataset contains realistic benign and attack traffic for cybersecurity research.
  • Validation confirms the dataset's utility for testing cybersecurity mitigation strategies.

Conclusions:

  • The ECU-PMU-FDI/TSA dataset addresses a critical gap in smart grid cybersecurity research.
  • This resource will enable the development and validation of advanced cyberattack defenses.
  • Facilitates enhanced grid security and stability through data-driven research.