Survey of machine learning methods for detecting false data injection attacks in power systems

A Sayghe, Y Hu, I Zografopoulos, XR Liu… - IET Smart …, 2020 - Wiley Online Library
Over the last decade, the number of cyber attacks targeting power systems and causing
physical and economic damages has increased rapidly. Among them, false data injection …

Bibliographical review on cyber attacks from a control oriented perspective

HS Sánchez, D Rotondo, T Escobet, V Puig… - Annual Reviews in …, 2019 - Elsevier
This paper presents a bibliographical review of definitions, classifications and applications
concerning cyber attacks in networked control systems (NCSs) and cyber-physical systems …

Cyber-physical energy systems security: Threat modeling, risk assessment, resources, metrics, and case studies

I Zografopoulos, J Ospina, X Liu, C Konstantinou - IEEE Access, 2021 - ieeexplore.ieee.org
Cyber-physical systems (CPS) are interconnected architectures that employ analog and
digital components as well as communication and computational resources for their …

Machine learning-based anomaly detection for load forecasting under cyberattacks

M Cui, J Wang, M Yue - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
Accurate load forecasting can create both economic and reliability benefits for power system
operators. However, the cyberattack on load forecasting may mislead operators to make …

Joint detection and mitigation of false data injection attacks in AGC systems

M Khalaf, A Youssef… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The ability to maintain the system frequency within specified operating limits is crucial for the
stability and proper operation of power systems. Any small deviation out of the permissible …

Emerging challenges in smart grid cybersecurity enhancement: A review

F Mohammadi - Energies, 2021 - mdpi.com
In this paper, a brief survey of measurable factors affecting the adoption of cybersecurity
enhancement methods in the smart grid is provided. From a practical point of view, it is a key …

Ensuring cybersecurity of smart grid against data integrity attacks under concept drift

M Mohammadpourfard, Y Weng, M Pechenizkiy… - International Journal of …, 2020 - Elsevier
For achieving increasing artificial intelligence in future smart grids, a very precise state
estimation (SE) is required as a prerequisite for many other key functionalities for successful …

Adaptive resilient control for variable-speed wind turbines against false data injection attacks

S Zhao, Q Yang, P Cheng, R Deng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the increasing expansion of wind power installed capacity, the deployed wind farms are
becoming an attractive target for malicious entities. The geographical scale of the wind farm …

Cyber security of smart metering infrastructure using median absolute deviation methodology

P Prabhakar, S Arora, A Khosla… - Security and …, 2022 - Wiley Online Library
To combat cyber threats in the smart grid, an intrusion detection system can be integrated
into the advanced metering infrastructure. Anomaly‐based intrusion detection can detect …

Distribution system state estimation and false data injection attack detection with a multi-output deep neural network

S Radhoush, T Vannoy, K Liyanage, BM Whitaker… - Energies, 2023 - mdpi.com
Distribution system state estimation (DSSE) has been introduced to monitor distribution
grids; however, due to the incorporation of distributed generations (DGs), traditional DSSE …