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Detecting False Data Injection Attacks Against Power System State Estimation with Fast Go-Decomposition Approach

• Authors : Junbo Zhao; Can Huang; Yongheng Yang

Subjects: Rank (linear algebra); Computer science; Noise (signal processing)

• Source: Li, B, Ding, T, Huang, C, Zhao, J, Yang, Y & Chen, Y 2019, ' Detecting False Data Injection

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A Cyber-Secured Operation for Water-Energy Nexus

• Authors : Chenye Wu; Zhidong Cao; Chenghong Gu

Subjects: Computer science; 020209 energy; Reliability (computer networking)

• Source: Zhao, P, Gu, C, Cao, Z, Xie, D & Teng, F 2021, ' A Cyber-Secured Operation for Water-Energy Nexus ', IEEE Transactions on Power Systems, vol. 36, no. 4, 9290107, pp. 3105-3117 .

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Rule-Based Detection of False Data Injections Attacks against Optimal Power Flow in Power Systems

• Authors : Muhamad Felemban; Sani Umar

Subjects: Computer science; 020209 energy; Particle swarm optimization

• Source: SensorsVolume 21Issue 7Sensors, Vol 21, Iss 2478, p 2478 (2021)Sensors (Basel, Switzerland)

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Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks

• Authors : Osman Boyaci; Muhammad Ismail; Katherine Davis

Subjects: FOS: Computer and information sciences; Polynomial; Computer Science - Machine Learning

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Cyber-Attack Detection in DC Microgrids Based on Deep Machine Learning and Wavelet Singular Values Approach

• Authors : Navid Bayati; Mohammad Ghiasi; Mehdi Savaghebi

Subjects: TK7800-8360; Computer Networks and Communications; Computer science

• Source: Dehghani, M, Niknam, T, Ghiasi, M, Bayati, N & Savaghebi, M 2021, ' Cyber-attack detection in dc microgrids based on deep machine learning and wavelet singular values approach ', Electronics

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Cyberattack Detection in Intelligent Grids Using Non-linear Filtering

• Authors : Irina Lukicheva; Alexander Kulikov; David Pozo

Subjects: FOS: Computer and information sciences; 020203 distributed computing; 021110 strategic, defence & security studies

• Source: ISGT Europe

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