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Distributed filtering under false data injection attacks
Automatica, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yang, Wen +4 more
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False Data Injection Attacks in Electricity Markets
2010 First IEEE International Conference on Smart Grid Communications, 2010We present a potential class of cyber attack, named false data injection attack, against the state estimation in deregulated electricity markets. With the knowledge of the system configuration, we show that such attacks will circumvent the bad data measurement detection equipped in present SCADA systems, and lead to profitable financial misconduct such
Le Xie, Yilin Mo, Bruno Sinopoli
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2019
False data injection (FDI) attacks are malicious insertions of false data as sensor measurements in a cyber-physical system, in order to lead the system to take a wrong action. False data injection attacks do not attack the computational or network components of cyber-physical systems but the interface between the physical and the cyber part.
Marilyn Wolf, Dimitrios Serpanos
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False data injection (FDI) attacks are malicious insertions of false data as sensor measurements in a cyber-physical system, in order to lead the system to take a wrong action. False data injection attacks do not attack the computational or network components of cyber-physical systems but the interface between the physical and the cyber part.
Marilyn Wolf, Dimitrios Serpanos
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False data injection attack on consensus‐based distributed estimation
International Journal of Robust and Nonlinear Control, 2016SummaryWe consider security issues for consensus‐based distributed estimation problem. In a sensor network, an attacker with limited power injects random false data into the communication links so as to degrade the network performance. First, an optimal estimator is designed by minimizing the mean‐squared estimation error of each sensor under hostile ...
Lei, L., Yang, W., Yang, C., Shi, H. B.
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EVADE: Targeted Adversarial False Data Injection Attacks for State Estimation in Smart Grid
IEEE Transactions on Sustainable ComputingAlthough conventional false data injection attacks can circumvent the detection of bad data detection (BDD) in sustainable power grid cyber physical systems, they are easily detected by well-trained deep learning-based detectors.
Jiwei Tian +6 more
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False Data Injection Attacks in Healthcare
2018False data injection attacks (FDIA) are widely studied mainly in the area of smart grid, power systems and wireless sensor networks. In this paper, an overview of the FDIA is proposed including the definition and detection techniques proposed so far. The main focus of this paper is to create awareness about the impact of the FDIA in domains other than ...
Mohiuddin Ahmed +1 more
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IEEE Internet of Things Journal
In response to carbon peaking and carbon neutrality, DC microgrids (MGs), as a key pillar, have facilitated efficient and reliable power transmission between renewable energy sources, energy storage devices, and various loads.
Xinyu Wang +3 more
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In response to carbon peaking and carbon neutrality, DC microgrids (MGs), as a key pillar, have facilitated efficient and reliable power transmission between renewable energy sources, energy storage devices, and various loads.
Xinyu Wang +3 more
semanticscholar +1 more source
IEEE Transactions on Automation Science and Engineering
Cyber-physical systems (CPSs) are increasingly threatened by stealthy false data injection (SFDI) attacks, which compromise system integrity by manipulating control signals and introducing false sensor data. These attacks are particularly challenging due
Liang Xin, Guang He, Zhiqiang Long
semanticscholar +1 more source
Cyber-physical systems (CPSs) are increasingly threatened by stealthy false data injection (SFDI) attacks, which compromise system integrity by manipulating control signals and introducing false sensor data. These attacks are particularly challenging due
Liang Xin, Guang He, Zhiqiang Long
semanticscholar +1 more source
IEEE Transactions on Cybernetics
Localization security is crucial to the widespread applications of wireless sensor networks (WSNs) in various fields. This article mainly studies the issue of distributed localization in WSNs subject to deception attacks, in which the attacker randomly ...
Lei Shi, Xinming Chen, Yi Zhou
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Localization security is crucial to the widespread applications of wireless sensor networks (WSNs) in various fields. This article mainly studies the issue of distributed localization in WSNs subject to deception attacks, in which the attacker randomly ...
Lei Shi, Xinming Chen, Yi Zhou
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Detection of False Data Injection of PV Production
2021 IEEE Green Technologies Conference (GreenTech), 2021Due to cyber attack threats to the cyber physical systems which compose modern smart grids additional layers of security could be valuable. The potential of data tampering in the smart grid spurs the research of data integrity attacks and additional security means to detect such tampering.
Hugo Riggs +4 more
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