Results 31 to 40 of about 24,575,900 (284)

A multi-stage low-cost false data injection attack method for power CPS

open access: yesZhejiang dianli, 2023
With the rapid development of information and communication technology, the power system has developed into a cyber physical system (CPS) in which the information system and the physical system are deeply coupled. The constant interplay between data flow
YI Na, XU Jianjun, CHEN Yue, PAN Feiyu
doaj   +1 more source

False memory ≠ false memory: DRM errors are unrelated to the misinformation effect [PDF]

open access: yes, 2013
The DRM method has proved to be a popular and powerful, if controversial, way to study 'false memories'. One reason for the controversy is that the extent to which the DRM effect generalises to other kinds of memory error has been neither satisfactorily ...
Lambert, K.   +11 more
core   +2 more sources

An Efficient Privacy-enhancing Cross-silo Federated Learning and Applications for False Data Injection Attack Detection in Smart Grids

open access: yes, 2023
Federated Learning is a prominent machine learning paradigm which helps tackle data privacy issues by allowing clients to store their raw data locally and transfer only their local model parameters to an aggregator server to collaboratively train a ...
Yin, Xuefei
core   +1 more source

Reachability-Based False Data Injection Attacks and Defence Mechanisms for Cyberpower System

open access: yesEnergies, 2022
With the push for higher efficiency and reliability, an increasing number of intelligent electronic devices (IEDs) and associated information and communication technology (ICT) are integrated into the Internet of Things (IoT)-enabled smart grid.
Ren Liu   +3 more
doaj   +1 more source

Secure LQG control for a Quadrotor under false data injection attacks

open access: yesIET Control Theory & Applications, 2022
The linear quadratic Gaussian (LQG) control for a quadrotor unmanned aerial vehicle (UAV) under false data injection attacks is studied. The LQG control depends on optimal state estimation, while this type of attacks makes the optimal state estimation ...
Hong Lin   +4 more
doaj   +1 more source

Guaranteed False Data Injection Attack Without Physical Model

open access: yesIEEE Open Access Journal of Power and Energy
Smart grids are increasingly vulnerable to False Data Injection Attacks (FDIAs) due to their growing reliance on interconnected digital systems. Many existing FDIA techniques assume access to critical physical model information, such as grid topology, to
Chenhan Xiao   +2 more
doaj   +1 more source

Detection of False Data Injection Attacks in Multi-Microgrid [PDF]

open access: yes, 2021
In this thesis an Intrusion Detection System was developed to fight False Data Injection Attacks in Multi-Microgrids. Multi-Microgrids are a part of future power systems and they form the core part of critical infrastructure where resiliency and ...
Kaasalainen, Juho
core  

Simulation of False Data Injection Attack & Threshold-Based Detection for FDIA [PDF]

open access: yes, 2023
The research projects cover’s the understanding and implementation of simulation of False Data Injection Attack and Threshold-Based Detection to detect False Data Injection using MATLAB code.
Mane, Sudhanshu Sunil
core   +3 more sources

Spatio-temporal synchrophasor data characterization for mitigating false data injection in smart grids

open access: yes, 2019
As electric power grids' dependence on wide area monitoring systems (WAMS) is expected to increase significantly in the near future, the cyber security concerns of WAMS must be carefully addressed.
Peter Fuhr   +9 more
core   +1 more source

Coordinated False Data Injection Attacks in AGC System and Its Countermeasure

open access: yesIEEE Access, 2020
The Automatic Generation Control (AGC) system is vital for power system frequency stability. The frequency and tie-line power flow are measured and transmitted to the control room to form Area Control Error (ACE), which is then sent to each generator for
Xi He, Xuan Liu, Peng Li
doaj   +1 more source

Home - About - Disclaimer - Privacy