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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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A comprehensive survey of false data injection in smart grid
International Journal of Wireless and Mobile Computing, 2015The smart grid has attracted great attention in the recent years. It is poised to transform a centralised, producer-controlled network to a decentralised, consumer-interactive network supported by fine-grained monitoring. However, owing to the interactive nature of the smart grid, it faces the threat of being attacked. False data injection is a rapidly
Zhitao Guan +3 more
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A Data-Based Detection Method Against False Data Injection Attacks
IEEE Design & Test, 2020Editor’s notes: CPSs are vulnerable to process-aware attacks that aim to disrupt the proper functioning or hamper performance/efficiency/stability/safety of the physical systems/processes of the CPSs. This article considers utilization of state estimators in smart grids for detection of false data injection attacks using data-driven anomaly detection ...
Charalambos Konstantinou +1 more
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Detection, estimation, and compensation of false data injection attack for UAVs
Information Sciences, 2021Abstract The safety issues of unmanned aerial vehicles (UAVs) are ever increasing in focus due to the vulnerability to attack. This paper investigates the safety problem for UAVs under the false data injection attack (FDIA) through wireless data link. First, the attack characteristics and influencing factors of FDIA are explicitly analyzed. Thus, the
Yapei Gu +4 more
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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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Detection and mitigation of false data injection in cooperative communications
2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015We propose a likelihood ratio based physical-layer technique for detecting and mitigating the false data injection attack in cooperative communication systems. We present the optimum detection method that minimizes the end-to-end outage probability and the minmax detection method that minimizes the maximum possible outage probability under unknown ...
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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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False data injection in distribution system: Attacker's perspective
International Journal of Critical Infrastructure Protection© 2024 Elsevier B.V. The distribution system is digitizing and occupying cyberspace with the help of information and communication technologies (ICTs). It is vulnerable to cyber-attacks like false data injection (FDI) and denial-of-services (DoS). However, limited research on cyber-attacks in the distribution system is reported in the literature, and ...
Bhattar PL, Pindoriya NM, Sharma A
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Detecting false data injection in smart grid in-network aggregation
2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2013The core of the smart grid relies on the ability of transmitting realtime metering data and control commands efficiently and reliably. Secure in-network data aggregation approaches have been introduced to fulfill the goal in smart grid neighborhood area networks (NANs) by aggregating the data on-the-fly via intermediate meters.
Lei Yang 0037, Fengjun Li
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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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