Reinforcement Learning-Based Detection for State Estimation Under False Data Injection
IEEE Access, 2021 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
Energies, 2022 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
IEEE Access, 2023 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
Electric load forecasting under False Data Injection Attacks using deep learning
Energy Reports, 2022 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
Journal of Marine Science and Engineering, 2022 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
Energies, 2023 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
IEEE Access, 2021 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
Modeling and Detecting False Data Injection Attacks against Railway Traction Power Systems [PDF]
, 2017 Modern urban railways extensively use computerized sensing and control technologies to achieve safe, reliable, and well-timed operations. However, the use of these technologies may provide a convenient leverage to cyber-attackers who have bypassed the ...
Lakshminarayana, Subhash +3 more
core +2 more sources
An Efficient Data-Driven False Data Injection Attack in Smart Grids [PDF]
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 2018 Data-driven false data injection attack is one of the emerging techniques in smart grids, provided that the adversary can monitor the meter readings. The basic idea is constructing attack vectors from the estimated signal subspace, without knowing system measurement matrix.
Wen, F., Liu, W.
openaire +2 more sources
Strategy optimization of false data injection attack on AC-DC hybrid systems
电力工程技术, 2023 False data injection (FDI) attack is one of the attacks that can seriously affect the operation of power systems. Some studies have focused on the cyber-attack methods of AC-DC hybrid systems. However, few studies pay their efforts on the optimization of
XIE Yunyun +4 more
doaj +1 more source