False Data Injection Attack Detection and Mitigation Using Nonlinear Autoregressive Exogenous Input-Based Observers in Distributed Control for DC Microgrid [PDF]
This study investigates the vulnerability of dc microgrid systems to cyber threats, focusing on false data injection attacks (FDIAs) affecting sensor measurements.
Md Abu Taher +3 more
openalex +2 more sources
Big Data-Driven Detection of False Data Injection Attacks in Smart Meters
Today’s energy resources are closer to consumers thanks to sustainable energy and advanced metering infrastructure (AMI), such as smart meters. Smart meters are controlled and manipulated through various interfaces in smart grids, such as cyber ...
Fatih Unal +3 more
doaj +1 more source
Reinforcement Learning-Based Detection for State Estimation Under False Data Injection
We consider the problem of network security under false data injection attacks over wireless sensor networks.To resist the attacks which can inject false data into communication channels according to a certain probability, we formulate the online attack ...
Weiliang Jiang +5 more
doaj +1 more source
Earth-Mover-Distance-Based Detection of False Data Injection Attacks in Smart Grids
The high integration of power information physical system improves the efficiency of power transmission, but it also brings new threats to power grid.
Zhengwei Qu +5 more
doaj +1 more source
Gaussian Filtering With False Data Injection and Randomly Delayed Measurements
State estimation in cyber-physical systems is a challenging task involving integrating physical models and measurements to estimate dynamic states accurately in practical machine-to-machine and IoT deployments.
Sumanta Kumar Nanda +6 more
doaj +1 more source
Detection, differentiation and localization of replay attack and false data injection attack based on random matrix. [PDF]
Replay attack and false data injection attack (FDIA) are two common types of cyber-attacks against supervisory control and data acquisition systems, aiming to disrupt the normal operation of the power system by falsifying meter measurements.
Shen Y, Qin Z.
europepmc +2 more sources
Electric load forecasting under False Data Injection Attacks using deep learning
Precise electric load forecasting at different time horizons is an essential aspect for electricity producers and consumers who participate in energy markets in order to maximize their economic efficiency.
Arash Moradzadeh +5 more
doaj +1 more source
Defense Strategy against False Data Injection Attacks in Ship DC Microgrids
False Data Injection Attacks (FDIA) on ship Direct Current (DC) microgrids may result in the priority trip of a large load, a black-out, and serious accidents of ship collisions when maneuvering in the port.
Hong Zeng +3 more
doaj +1 more source
Detection of Stealthy False Data Injection Attacks in Modular Multilevel Converters
A modular multilevel converter (MMC) in a high-voltage direct-current (HVDC) transmission system consists of an electric-coupled physical system and a communication-coupled cyber system, leading to a cyber-physical system (CPS).
Xingxing Chen, Shuguang Song
doaj +1 more source
A Controllable False Data Injection Attack for a Cyber Physical System
With the evolution of the Internet of Things (IoT), various types of devices and massive systems comprising national infrastructures such as a smart grid are connected on a network, which poses various types of security issues in a cyber physical system.
Janghoon Yang
doaj +1 more source

