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False-Data-Injection Attacks on Remote Distributed Consensus Estimation
IEEE Transactions on Cybernetics, 2022This article studies a security issue in remote distributed consensus estimation where sensors transmit their measurements to remote estimators via a wireless communication network. The relative entropy is utilized as a stealthiness metric to detect whether the data transmitted through the wireless network are attacked.
Hao Liu, Ben Niu, Yuzhe Li
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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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Secure distributed estimation against false data injection attack
Information Sciences, 2020Abstract With the development of wireless sensor networks, many distributed algorithms have been studied by researchers. This paper considers the situation of distributed estimation with false data injection (FDI) attack. Owing to the fact that Kullback-Leibler (KL) divergence is very effective to detect outliers caused by FDI attack, a distributed ...
Yi Hua +4 more
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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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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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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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Resilient control of multi-microgrids against false data injection attack
ISA Transactions, 2021A multi-microgrid system, including several microgrids and distributed energy resources, is always threatened by numbers of faults and attacks as a consequence of which malfunctioning can occur on a large scale. Thus, minimizing the effects of such disruptions is of paramount importance.
Negar, Yassaie +3 more
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