Detection of False Data Injection Attacks in Smart Grids: A Real-Time Principle Component Analysis
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8897531/8926608/08927453.pdf?arnumber=8927453
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Stacked machine learning models for non-technical loss detection in smart grid: A comparative analysis;Energy Reports;2024-12
2. Letter Detecting the One-Shot Dummy Attack on the Power Industrial Control Processes With an Unsupervised Data-Driven Approach;IEEE/CAA Journal of Automatica Sinica;2023-02
3. Feature Selection based False Data Detection Scheme using Machine Learning for Power System;2022 IEEE Bombay Section Signature Conference (IBSSC);2022-12-08
4. A Review of Cyber–Resilient Smart Grid;2022 World Automation Congress (WAC);2022-10-11
5. False Data Injection Attack Detection Based on Local Linear Embedding and Extreme Learning Machine;2022 IEEE 17th International Conference on Control & Automation (ICCA);2022-06-27
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