False Data Injection on State Estimation in Power Systems—Attacks, Impacts, and Defense: A Survey
By Ruilong Deng, Gaoxi Xiao, Rongxing Lu, Hao Liang, Athanasios V. Vasilakos. IEEE Transactions on Industrial Informatics, 2017
488 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/721a43246643ebc2a590007376ab807d897fc42e
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In Artificial Intelligence
- Yunhe Hou
- Junhua Zhao
- Zhao Yang Dong
- Guo Chen
- Gaoqi Liang
- James Jian Qiao Yu
- Steven S. R. Weller
- Victor O. K. Li
In Computer Networks and Communications
- Junhua Zhao
- Adnan M. Abu-Mahfouz
- Zhao Yang Dong
- Guo Chen
- Gaoqi Liang
- Mohammad Shahidehpour
- James Jian Qiao Yu
- Steven S. R. Weller
In Control and Systems Engineering
- Yunhe Hou
- James Jian Qiao Yu
- Victor O. K. Li
- Junhua Zhao
- Adnan M. Abu-Mahfouz
- Zhao Yang Dong
- Guo Chen
- Gaoqi Liang
Citations in the corpus
- Distributed Blockchain-Based Data Protection Framework for Modern Power Systems Against Cyber Attacks (2019, background): “As a representative cyber-attack, the false data injection attack (FDIA) [6]–[8] manipulates system data to mislead the control center without being detected by the bad data detection module.”
- A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids (2020, methodology): “A similar approach was reported in [19] with a focus on FDIA, and a brief review was given on the effect of FDIA on state estimation in [20].”
- A Review of Machine Learning Approaches to Power System Security and Stability (2020, background): “Several studies in the literature have discussed the threats, effects and impacts of these disturbances, insecurities and instabilities [8]–[11].”
- Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach (2022, background): “Up to date, many researchers have conducted research from the perspective of FDIA detection and achieved certain results [5], [6].”
- Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review (2019, background): “FDIAs need to be capable of escaping bad data detection (BDD) protocols in place, and perform stealth attacks on the system state estimation mechanism [196] – which is fundamental to monitor the state of a power system [197].”
- Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks (2018, background): “[8] presented comprehensive surveys on the impacts of such cyber-attacks.”