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A multi-information fusion anomaly detection model based on convolutional neural networks and AutoEncoder. [PDF]

Sci Rep
Zhao Z, Guo H, Wang Y.
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Mitigation of severe false data injection attacks (FDIAs) in marine current turbine (MCT) type 4 synchronous generator renewable energy using promoted backstepping method

Renewable Energy
False data injection attack (FDIA) is kind of the most important and prevalent cyber attacks, influencing in power systems and renewable energy resources in microgrids (MGs). The destructive effects caused by FDIAs in the voltage components of synchronous generator with full converter in AC microgrid (ACMG) renewable energy production would seriously ...
Hossein Mahvash, Seyed Abbas Taher, Josep M. Guerrero   +2 more
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An Accurate False Data Injection Attack (FDIA) Detection in Renewable-Rich Power Grids

2022 10th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES), 2022
Mostafa Mohammadpourfard, Yang Weng, Istemihan Genc, Taesic Kim   +3 more
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Detecting False Data Injection Attacks (FDIAs) in Power Systems Based on Entropy Criteria

Journal of The Institution of Engineers (India): Series B, 2023
Xiangguo Liu, Ying Zhang, Zhonglong Wang, Huijun Du, Jia Zhou, Yue Liu, Jia Peng   +6 more
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Comparative Assessment of Machine Learning (ML) Techniques for False Data Injection Attack (FDIA) Classification

2023 IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control (STPEC), 2023
Nitish Kumar, Sourav De, Ranjana Sodhi
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Modeling and Evaluation of False Data Injection Attacks (FDIA) in DER Inverters

2024 56th North American Power Symposium (NAPS)
Tanzim Jim Hassan, Akshay Ram Ramchandra, Prakash Ranganathan   +2 more
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Detection and Mitigation of False Data Injection Attack (FDIA) on Load Frequency Control System

2024 IEEE 21st India Council International Conference (INDICON)
Muhammad Numan Bhat, Asadur Rahman, Inam Ul Haq   +2 more
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Distributed Resilient Control Strategy of DC Microgrids Against False Data Injection Attacks (FDIAs)

Guanggan Hu, Sucheng Liu, Qianjin Zhang, Wei Fang, Xiaodong Liu   +4 more
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