Physics-informed machine learning for data anomaly detection, classification, localization, and mitigation: A review, challenges, and path forward

MJ Zideh, P Chatterjee, AK Srivastava - IEEE Access, 2023 - ieeexplore.ieee.org
Advancements in digital automation for smart grids have led to the installation of
measurement devices like phasor measurement units (PMUs), micro-PMUs (-PMUs), and …

A deep-learning-based solution for securing the power grid against load altering threats by IoT-enabled devices

H Jahangir, S Lakshminarayana… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The growing integration of high-wattage Internet of Things (IoT)-enabled electrical
appliances at the consumer end has created a new attack surface that an adversary can …

Mitigating load-altering attacks against power grids using cyber-resilient economic dispatch

Z Chu, S Lakshminarayana… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Large-scale Load-Altering Attacks (LAAs) against Internet-of-Things (IoT) enabled high-
wattage electrical appliances pose a serious threat to power system security and stability …

False data injection attacks on data markets for electric vehicle charging stations

S Acharya, R Mieth, R Karri, Y Dvorkin - Advances in Applied Energy, 2022 - Elsevier
Modern societies use machine learning techniques to support complex decision-making
processes (eg, renewable energy and power demand forecasting in energy systems). Data …

Data-Enabled Modeling and PMU-Based Real-Time Localization of EV-Based Load-Altering Attacks

MM Soleymani, A Abazari, M Ghafouri… - … on Smart Grid, 2024 - ieeexplore.ieee.org
Recently, the integration of electric vehicles (EVs) and their associated electric vehicle
supply equipment (EVSE) has increased significantly in smart grids. Due to the cyber …

Load-altering attacks against power grids under COVID-19 low-inertia conditions

S Lakshminarayana, J Ospina… - IEEE Open Access …, 2022 - ieeexplore.ieee.org
The COVID-19 pandemic has impacted our society by forcing shutdowns and shifting the
way people interacted worldwide. In relation to the impacts on the electric grid, it created a …

Adversarial dynamic load-altering cyberattacks against peak shaving using residential electric water heaters

ENS Youssef, F Labeau… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Innovative smart grid technologies such as demand-side management (DSM) and smart
home systems promise more optimal energy consumption; however, they expose the grid to …

Detection of load-altering cyberattacks targeting peak shaving using residential electric water heaters

ENS Youssef, F Labeau, M Kassouf - Energies, 2022 - mdpi.com
The rapid adoption of the smart grid's nascent load-management capabilities, such as
demand-side management and smart home systems, and the emergence of new classes of …

Survey of moving target defense in power grids: Design principles, tradeoffs, and future directions

S Lakshminarayana, Y Chen, C Konstantinou… - arXiv preprint arXiv …, 2024 - arxiv.org
Moving target defense (MTD) in power grids is an emerging defense technique that has
gained prominence in the recent past. It aims to solve the long-standing problem of securing …

Survey of Load-Altering Attacks Against Power Grids: Attack Impact, Detection and Mitigation

S Maleki, S Pan, S Lakshminarayana… - arXiv preprint arXiv …, 2024 - arxiv.org
The growing penetration of IoT devices in power grids despite its benefits, raises cyber
security concerns. In particular, load-altering attacks (LAAs) targetting high-wattage IoT …