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Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method

• Authors : Sahu, Abhijeet; Nguyen, Truc; Chen, Kejun

Subjects: Computer Science - Cryptography and Security; Computer Science - Artificial Intelligence; Computer Science - Machine Learning

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Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method

• Authors : Abhijeet Sahu; Truc Nguyen; Kejun Chen

Subjects: False data injection; dynamic state prediction; long short term memory

• Source: IEEE Access, Vol 13, Pp 12411-12426 (2025)

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Comparison of deep learning algorithms for site detection of false data injection attacks in smart grids

• Authors : Qassim Nasir; Manar Abu Talib; Muhammad Arbab Arshad

Subjects: False data injection attacks (FDIA); Network security; Deep learning

• Source: Energy Informatics, Vol 7, Iss 1, Pp 1-26 (2024)

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A Game-Theoretic Approach for PMU Deployment Against False Data Injection Attacks

• Authors : Maleki, Sajjad; Lakshminarayana, Subhash; Belmega, E. Veronica ...

Subjects: Cybersecurity; False Data Injection Attacks (FDIA); Zero-sum GamesOslo; Norway

• Source: IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids ; https://hal.science/hal-04656982 ; IEEE International Conference on Communications, Control, and

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Detection of false data injection attacks on power systems using graph edge-conditioned convolutional networks

• Authors : Bairen Chen; Q. H. Wu; Mengshi Li

Subjects: Power system state estimation (PSSE); Bad data detection (BDD); False data injection attacks (FDIA)

• Source: Protection and Control of Modern Power Systems, Vol 8, Iss 1, Pp 1-12 (2023)

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Real-Time Estimation in Cyber Attack Detection and Mitigation Framework for DC Microgrids

• Authors : Basati, Amir; Bazmohammadi, Najmeh; Guerrero, Josep M. ...

Subjects: Adaptive Neuro-Fuzzy inference system; DC Microgrid; False data injection attacks (FDIA)

• Source: Basati , A , Bazmohammadi , N , Guerrero , J M & Vasquez , J C 2023 , Real-Time Estimation in Cyber Attack Detection and Mitigation Framework for DC Microgrids . in L Radil & M Ptacek (eds) , 2023

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A Data-Driven Framework for FDI Attack Detection and Mitigation in DC Microgrids

• Authors : Basati, Amir; Guerrero, Josep M.; Vasquez, Juan C.

Subjects: DC Microgrids; Data driven approach; Distributed Control System

• Source: Basati , A , Guerrero , J M , Vasquez , J C , Bazmohammadi , N & Golestan , S 2022 , ' A Data-Driven Framework for FDI Attack Detection and Mitigation in DC Microgrids '

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A Fully Resilient Cyber-Secure Synchronization Strategy for AC Microgrids

• Authors : Sadabadi, Mahdieh S.; Sahoo, Subham; Blaabjerg, Frede

Subjects: AC Microgrid; Resiliency; Distributed Control

• Source: Sadabadi , M S , Sahoo , S & Blaabjerg , F 2021 , ' A Fully Resilient Cyber-Secure Synchronization Strategy for AC Microgrids ' , I E E E Transactions on Power Electronics , vol. 36 , no. 12 , 9462515

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On Detection of False Data in Cooperative DC Microgrids–A Discordant Element Approach

• Authors : Sahoo, Subham; Chih-Hsien Peng, Jimmy; Devakumar, Annavaram

Subjects: DC Microgrid; Voltage Control; cyber attacks

• Source: Sahoo , S , Chih-Hsien Peng , J , Devakumar , A , Mishra , S & Dragicevic , T 2020 , ' On Detection of False Data in Cooperative DC

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Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition.

• Authors : Alrslani, Faheed A.F.¹ (AUTHOR); Alohali, Manal Abdullah² (AUTHOR) ; Aljebreen, Mohammed³ (AUTHOR)

• Source: Scientific Reports. 1/31/2025, Vol. 15 Issue 1, p1-31. 31p.

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