Survey of machine learning methods for detecting false data injection attacks in power systems
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 …
physical and economic damages has increased rapidly. Among them, false data injection …
Bibliographical review on cyber attacks from a control oriented perspective
This paper presents a bibliographical review of definitions, classifications and applications
concerning cyber attacks in networked control systems (NCSs) and cyber-physical systems …
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
Cyber-physical systems (CPS) are interconnected architectures that employ analog and
digital components as well as communication and computational resources for their …
digital components as well as communication and computational resources for their …
Machine learning-based anomaly detection for load forecasting under cyberattacks
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 …
operators. However, the cyberattack on load forecasting may mislead operators to make …
Joint detection and mitigation of false data injection attacks in AGC systems
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 …
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 …
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
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 …
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
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 …
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 …
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
Distribution system state estimation (DSSE) has been introduced to monitor distribution
grids; however, due to the incorporation of distributed generations (DGs), traditional DSSE …
grids; however, due to the incorporation of distributed generations (DGs), traditional DSSE …