Power grid network security: A lightweight detection model for composite false data injection attacks using spatiotemporal features
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DOI: 10.1016/j.ijcip.2024.100697
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References listed on IDEAS
- Abrar Mahi-al-rashid & Fahmid Hossain & Adnan Anwar & Sami Azam, 2022. "False Data Injection Attack Detection in Smart Grid Using Energy Consumption Forecasting," Energies, MDPI, vol. 15(13), pages 1-17, July.
- Reda, Haftu Tasew & Anwar, Adnan & Mahmood, Abdun, 2022. "Comprehensive survey and taxonomies of false data injection attacks in smart grids: attack models, targets, and impacts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
- Li, Xueping & Wang, Yaokun & Lu, Zhigang, 2023. "Graph-based detection for false data injection attacks in power grid," Energy, Elsevier, vol. 263(PC).
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Keywords
Power grid; False data injection attacks; DSE-BiLSTM; Cybersecurity; Multi-label classification;All these keywords.
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