Author Identifiers
Taylah Griffiths: https://orcid.org/0000-0003-2238-9785
Mohiuddin Ahmed: https://orcid.org/0000-0002-4559-4768
Chadni Islam: https://orcid.org/0000-0002-6349-6483
Publication Date
2025
Document Type
Dataset
Publisher
Edith Cowan University
School or Research Centre
School of Science
Description
Cyberattacks are now targeting the electrical grid due to its inclusion of smart devices, e.g., smart meters, phasor measurement units. The need to understand and review the impacts of attacks is vital. ECU-PMU-FDI/TSA encompasses communications between a phasor measurement unit and a phasor data concentrator, using the IEEE C37.118 protocol. Benign traffic was captured as control, and for attacks false data injection and time synchronization attack traffic were captured.
Additional Information
Wireshark capture files (.pcapng) are included as raw data files, along with CSV files exported from Wireshark, both under the "Raw" folder. A processed version of the raw data is included, under "Processed" that includes relevant fields for the attacks. Shortened forms of the processed data are included for machine learning purposes, under "Machine Learning Datasets".
DOI
10.25958/kmaj-sf75
Research Activity Title
Design and evaluation of authentication protocols for smart grid to mitigate malicious data attacks
Research Activity Description
The research will investigate lesser-researched attacks in smart grid: false data injection, and time synchronization attacks. The impact of these attacks on phasor measurement units will be explored. Then, the mitigation of these attacks will be explicitly investigated by designing robust authentication protocols using physically unclonable functions. Finally, a set of evaluation metrics will be proposed for the developed authentication protocols.
Methodology
Communication data was captured through Wireshark on a virtual testbed.
Start of data collection time period
2025
End of data collection time period
2-2025
File Format(s)
.zip, .pcapng, .csv
File Size
251MB
Viewing Instructions
If using the Microsoft Excel to view the .csv files, it is recommended to import the files and transform the data to its correct format.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Contact
t.griffiths@ecu.edu.au
Citation
Griffiths, T., Ahmed, M., & Islam, C. (2025). ECU-PMU-FDI/TSA. Edith Cowan University. https://doi.org/10.25958/kmaj-sf75