6 citations · 6 across the 4 of their papers we have counts for
4 papers
A Transformer-Based Mixture-of-Experts Framework for False Data Injection Attack Detection and Localization
Ruslan Abdulin, Mohammad Rasoul Narimani
False data injection attacks (FDIAs) threaten smart-grid operation by manipulating measurement data and misleading power system state estimation. Although recent data-driven method…
Attention-Enhanced Graph Filtering for False Data Injection Attack Detection and Localization
Ruslan Abdulin, Mohammad Rasoul Narimani
The increasing deployment of Internet-of-Things (IoT)-enabled measurement devices in modern power systems has expanded the cyberattack surface of the grid. As a result, this critic…
Certifying the Nonexistence of Feasible Path Between Power System Operating Points
Mohammad Rasoul Narimani, Katherine R. Davis, Daniel K. Molzahn
By providing the optimal operating point that satisfies both the power flow equations and engineering limits, the optimal power flow (OPF) problem is central to power systems opera…
Infinite Impulse Response Graph Neural Networks for Cyberattack Localization in Smart Grids
Osman Boyaci, M. Rasoul Narimani, Katherine Davis +1
This study employs Infinite Impulse Response (IIR) Graph Neural Networks (GNN) to efficiently model the inherent graph network structure of the smart grid data to address the cyber…