Abstract
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.
Keywords
Phasor Measurement Units (PMU), synchrophasors, smart grids, power system monitoring, cyberattack, intrusion detetction, machine learning
Document Type
Journal Article
Date of Publication
12-1-2026
Article Number
929
E-ISSN
20524463
Volume
13
Issue
1
PubMed ID
42020441
Publication Title
Scientific Data
Publisher
Nature
School
School of Science
Funding Information
This research was supported by the Commonwealth through an Australian Government Research Training Program Scholarship.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Griffiths, T., Ahmed, M., & Islam, C. (2026). Dataset for integrity attacks on time synchronized synchrophasor data. Scientific Data, 13, Article 929.