Privacy-Preserving Data Aggregation against False Data Injection Attacks in Fog Computing [PDF]
Sensors, 2018 As an extension of cloud computing, fog computing has received more attention in recent years. It can solve problems such as high latency, lack of support for mobility and location awareness in cloud computing.
Yinghui Zhang +6 more
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Detection of False Data Injection Attacks in Smart-Grid Systems [PDF]
IEEE Communications Magazine, 2015 Smart grids are essentially electric grids that use information and communication technology to provide reliable, efficient electricity transmission and distribution. Security and trust are of paramount importance. Among various emerging security issues, FDI attacks are one of the most substantial ones, which can significantly increase the cost of the ...
Chen, P-Y +4 more
core +4 more sources
An Approach for Testing False Data Injection Attack on Data Dependent Industrial Devices [PDF]
Journal of Universal Computer Science, 2021 False data injection is an attack in which an attacker injects fabricated data into a system with the objective to change the behaviour and the decision-making of the system.
Mathieu Briland, Fabrice Bouquet
doaj +3 more sources
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
False data injection attacks on data markets for electric vehicle charging stations
Advances in Applied Energy, 2022 Modern societies use machine learning techniques to support complex decision-making processes (e.g., renewable energy and power demand forecasting in energy systems).
Samrat Acharya +3 more
doaj +1 more source
Big Data-Driven Detection of False Data Injection Attacks in Smart Meters
IEEE Access, 2021 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
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 weighted graph‐based method for detection of data integrity attacks in electricity markets
IET Generation, Transmission & Distribution, 2021 The negative impacts of data integrity attacks against multi‐settlement electricity markets have been recently studied. It has been shown that adversaries could launch profitable cyber attacks by casting an incorrect image of transmission lines ...
Ramin Moslemi +2 more
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