Panasonic and Fraunhofer release open cyber-physical dataset for renewable energy security research

Osaka, Japan – Panasonic Holdings Corporation (hereinafter “Panasonic HD”) has jointly developed and released “Data4Cyber” with Fraunhofer-Gesellschaft, an open cyber-physical dataset designed to enable researchers and industry stakeholders to evaluate the impact of cyberattacks on renewable energy infrastructure. The dataset and its design methodology were also selected for presentation at the IEEE International Conference on Cyber Security and Resilience (IEEE CSR 2026) following peer review by the international cybersecurity research community.

In recent years, digitalization and networking of power systems have advanced with the growing introduction of renewable energy resources such as photovoltaic power generation and battery storage systems. At the same time, the risks posed by cyberattacks have also increased due to the expanded use of remote control and communication technologies.

However, there have been very few publicly available and reusable datasets that integrate communication, control, and physical data. Developed against this background, “Data4Cyber” is characterized by its ability to synchronize communication, control, and physical data on a one-second basis, enabling researchers to analyze how cyberattacks propagate from communication networks to physical power system operations.

This dataset is labeled with information indicating the presence or absence of attacks and the progression phases (reconnaissance, intrusion, manipulation, and impact), enabling the impact of cyberattacks on physical systems to be tracked over time.

Fraunhofer* is a leading organization for applied research in Europe, and in this project, Fraunhofer FIT and Fraunhofer FKIE played central roles in constructing an experimental environment close to actual operation. Panasonic HD co-designed attack scenarios and control models based on its expertise in renewable energy management and EMS technologies.

This dataset is expected to be utilized for the advancement of cyberattack countermeasure technologies by electric utilities, equipment manufacturers, security companies, and research institutions.

In addition, as the adoption of renewable energy continues to expand, the dataset will play an important social role as a foundation for visualizing the impact of cyberattacks on power infrastructure.

“Data4Cyber” is an integrated dataset obtained from a cyber-physical experimental environment simulating a distributed energy management environment. In addition to physical data such as power generation, load consumption, battery state, and power flow, communication data including EMS control commands, electricity prices, Modbus/TCP (industrial equipment control communication), and MQTT (lightweight messaging communication) are synchronously collected on a one-second basis.

Each timestamp is labeled with the presence or absence of attacks and attack phases (reconnaissance, intrusion, manipulation, and impact), enabling detailed analysis of how communication anomalies affect power systems.

Furthermore, the dataset reproduces multiple attack scenarios based on actual threat models, including Modbus tampering, man-in-the-middle attacks, and price manipulation attacks, making it possible to track how attacks on the communication layer propagate to renewable energy facilities.

Public Information

Conference:
IEEE International Conference on Cyber Security and Resilience (IEEE CSR 2026)

Paper:
Data4Cyber: Labeled Cyber-Physical Datasets for Distribution-Grid Management Systems Under Representative OT Attacks

Lisbon, Portugal, August 3–5, 2026
https://www.ieee-csr.org/

Publication format: Open data (CC BY 4.0)
Publication site: https://zenodo.org/records/19965384

* Fraunhofer
Fraunhofer-Gesellschaft is a leading organization for applied research in Europe, based in Germany, with more than 70 research institutes, conducting application-oriented research in collaboration with industry.
In this project, Fraunhofer FIT (Fraunhofer Institute for Applied Information Technology FIT) and Fraunhofer FKIE (Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE) played central roles in constructing a cyber-physical experimental environment close to actual operation by leveraging advanced expertise in industrial control systems and cybersecurity.

For more information on our security monitoring service for renewable energy systems, please visit the website below.
This service supports anomaly detection and cybersecurity measures through the visualization and monitoring of cyber risks in renewable energy facilities and EMS environments.
https://holdings.panasonic/global/corporate/product-security/eng/soc.html