MaDIoT 3.0: Assessment of Attacks to Distributed Energy Resources and Demand in a Power System

The increasing penetration of Distributed Energy Resources (DER) expands the cyberattack surface of power systems. This paper analyses, using PowerFactory, the impact and success of MaDIoT 3.0 attacks in the PST-16 model, a simplified model of the European system. MaDIoT 3.0 attacks are a novel type of attack that manage to compromise both high-wattage IoT demand devices and DER devices at the same time. The results indicate that the inclusion of distributed solar PV generation in the PST-16 system reduces the success ratio and impact of load-altering MaDIoT attacks when compared to the same system without DER, mainly due to an increment of the initial voltages. For MaDIoT 3.0 attacks, the demand had a more significant influence on the attack’s success than DER in the PST-16 system. Distributing the attacked demand across more buses or targeting the demand from other areas would decrease the success ratio of the attack. Therefore, the local scalability and replicability of vulnerable high-wattage demand devices in the analysed system become more critical than their distributed deployment in larger areas.

Authors

Institutions

Publication Details

Journal
IEEE Open Access Journal of Power and Energy
Published
2025-01-01
DOI
https://doi.org/10.1109/oajpe.2025.3595631
Citations
1
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MaDIoT 3.0: Assessment of Attacks to Distributed Energy Resources and Demand in a Power System

Javier Matanza Domingo, Lukas Sigrist, Néstor Rodríguez-Pérez, José L. Rueda et al.
1 citations
IEEE Open Access Journal of Power and Energy
Smart Grid Security and Resilience
1.21
article

MaDIoT 3.0: Assessment of Attacks to Distributed Energy Resources and Demand in a Power System

Javier Matanza Domingo, Lukas Sigrist, Néstor Rodríguez-Pérez, José L. Rueda, G. López
article en
1 citations

Abstract

The increasing penetration of Distributed Energy Resources (DER) expands the cyberattack surface of power systems. This paper analyses, using PowerFactory, the impact and success of MaDIoT 3.0 attacks in the PST-16 model, a simplified model of the European system. MaDIoT 3.0 attacks are a novel type of attack that manage to compromise both high-wattage IoT demand devices and DER devices at the same time. The results indicate that the inclusion of distributed solar PV generation in the PST-16 system reduces the success ratio and impact of load-altering MaDIoT attacks when compared to the same system without DER, mainly due to an increment of the initial voltages. For MaDIoT 3.0 attacks, the demand had a more significant influence on the attack’s success than DER in the PST-16 system. Distributing the attacked demand across more buses or targeting the demand from other areas would decrease the success ratio of the attack. Therefore, the local scalability and replicability of vulnerable high-wattage demand devices in the analysed system become more critical than their distributed deployment in larger areas.

IEEE Open Access Journal of Power and EnergyVol. 12
Universidad Pontificia Comillas (ES), Delft University of Technology (NL)
Affordable and clean energy
Openalex Percentile: Top 18%
Smart Grid Security and Resilience
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.