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Detection of false data attacks in smart grid with supervised learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/glocom.2012.6503599openalex-snapshot
False data injection attacks with incomplete information against smart power grids
inferredcites →https://doi.org/10.1109/icc.2013.6655269openalex-snapshot
Detection of false data injection in power grid exploiting low rank and sparsity
inferredcites →https://doi.org/10.1109/jproc.2011.2161428openalex-snapshot
Cyber–Physical Security of a Smart Grid Infrastructure
inferredcites →https://doi.org/10.1109/jproc.2011.2165269openalex-snapshot
Cyber–Physical System Security for the Electric Power Grid
inferredcites →https://doi.org/10.1109/jsac.2013.130712openalex-snapshot
On Topology Attack of a Smart Grid: Undetectable Attacks and Countermeasures
inferredcites →https://doi.org/10.1109/jsac.2013.130713openalex-snapshot
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models
inferredcites →https://doi.org/10.1109/jsyst.2014.2323266openalex-snapshot
Real-Time Detection of False Data Injection in Smart Grid Networks: An Adaptive CUSUM Method and Analysis
inferredcites →https://doi.org/10.1109/mci.2015.2437512openalex-snapshot
ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier]
inferredcites →https://doi.org/10.1109/mcom.2012.6257523openalex-snapshot
Smart attacks in smart grid communication networks
inferredcites →https://doi.org/10.1109/pesgm.2016.7741850openalex-snapshot
Power grid resilience against false data injection attacks
inferredcites →https://doi.org/10.1109/smartgrid.2010.5622064openalex-snapshot
Secure Information Aggregation for Smart Grids Using Homomorphic Encryption
inferredcites →https://doi.org/10.1109/smartgridcomm.2011.6102326openalex-snapshot
Stealth false data injection using independent component analysis in smart grid
inferredcites →https://doi.org/10.1109/tnnls.2015.2404803openalex-snapshot
Machine Learning Methods for Attack Detection in the Smart Grid
inferredcites →https://doi.org/10.1109/tpds.2013.92openalex-snapshot
On False Data-Injection Attacks against Power System State Estimation: Modeling and Countermeasures
inferredcites →https://doi.org/10.1109/tpwrs.2010.2051168openalex-snapshot
MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education
inferredcites →https://doi.org/10.1109/tsg.2011.2119336openalex-snapshot
Strategic Protection Against Data Injection Attacks on Power Grids
inferredcites →https://doi.org/10.1109/tsg.2011.2163807openalex-snapshot
Malicious Data Attacks on the Smart Grid
inferredcites →https://doi.org/10.1109/tsg.2012.2232318openalex-snapshot
Modeling Cyber-Physical Vulnerability of the Smart Grid With Incomplete Information
inferredcites →https://doi.org/10.1109/tsg.2013.2284438openalex-snapshot
Detecting False Data Injection Attacks on Power Grid by Sparse Optimization
inferredcites →https://doi.org/10.1109/tsg.2013.2291661openalex-snapshot
Local Load Redistribution Attacks in Power Systems With Incomplete Network Information
inferredcites →https://doi.org/10.1145/1952982.1952995openalex-snapshot
False data injection attacks against state estimation in electric power grids
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.2139/ssrn.3179469openalex-extracted
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inferred← citeshttps://doi.org/10.1007/978-3-030-42726-9_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-45541-5_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-72322-4_142-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-83301-5_7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-97940-9_142openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-45882-8_22openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-19-0619-0_22openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-19-4364-5_76openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-99-2115-7_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11227-025-07889-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s44248-025-00080-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s44443-026-00634-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106658openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2023.111169openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.egyr.2024.11.075openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.epsr.2024.110742openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.epsr.2024.111077openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijepes.2018.11.013openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijepes.2020.105947openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijepes.2021.106819openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jnca.2020.102808openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patrec.2020.01.015openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.phycom.2021.101394openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sysarc.2019.101705openalex-snapshot
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inferred← citeshttps://doi.org/10.1049/iet-cps.2017.0013openalex-snapshot
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inferred← citeshttps://doi.org/10.1049/iet-cps.2019.0010openalex-snapshot
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inferred← citeshttps://doi.org/10.1049/iet-stg.2020.0015openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/18824889.2025.2597566openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2021.3106873openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2022.3174259openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2025.3563721openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cec48606.2020.9185725openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/epec47565.2019.9074827openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/epec56903.2022.10000189openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/globconht56829.2023.10087717openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/globconpt57482.2022.9938333openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/globecom38437.2019.9013218openalex-snapshot
Finding the Worse Case: Undetectable False Data Injection with Minimized Knowledge and Resource
inferred← citeshttps://doi.org/10.1109/ias62731.2025.11061553openalex-snapshot
Correlation Aided Method for Detection of Cyber Attacks Against State Estimators
inferred← citeshttps://doi.org/10.1109/icaecot62402.2024.10828733openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icaee61760.2024.10783268openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icarcv50220.2020.9305398openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icccn58024.2023.10230180openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icdcs.2017.25openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icoict58202.2023.10262771openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icoin50884.2021.9333913openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icpesg.2018.8384510openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icpsasia48933.2020.9208447openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iecon51785.2023.10312338openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9207525openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/isgt45199.2020.9087789openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/isie54533.2024.10595763openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jestie.2022.3227005openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jestpe.2020.3045667openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/msn53354.2021.00044openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/naps50074.2021.9449635openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ojcoms.2025.3564069openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/pesgm.2018.8586334openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/pesgm40551.2019.8973679openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/pesgm41954.2020.9281719openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/pesgm46819.2021.9637951openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/pesgm46819.2021.9637976openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/pesgm52003.2023.10252253openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/pesgm52009.2025.11225553openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/pgsret.2018.8685944openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rusautocon61949.2024.10694123openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sefet69291.2026.11687662openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sege.2019.8859946openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sgc52076.2020.9335732openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sges51519.2020.00022openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sgre53517.2022.9774221openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/smartgridcomm.2018.8587473openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/smartgridcomm.2019.8909793openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/smc42975.2020.9283064openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ssci.2017.8285291openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sustech.2018.8671357openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2021.3125345openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tetci.2019.2902845openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tetci.2021.3085964openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tii.2017.2769106openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tii.2024.3393005openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpwrs.2023.3325219openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsg.2019.2949998openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsg.2021.3117977openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsg.2022.3176311openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsg.2023.3274642openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsg.2024.3364665openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsg.2024.3389948openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsipn.2022.3230562openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3433210.3437513openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3468218.3469047openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3575813.3597352openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3592538openalex-snapshot
Proceedings of the 9th ACM Cyber-Physical System Security Workshop
inferred← citeshttps://doi.org/10.1145/3592538.3594272openalex-snapshot
ICSML: Industrial Control Systems ML Framework for native inference using IEC 61131-3 code
inferred← citeshttps://doi.org/10.1145/3592797openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3674225.3674374openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s41601-023-00287-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s42400-023-00200-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.2478/fcds-2025-0009openalex-snapshot
Robust Hybrid Data-Level Approach for Handling Skewed Fat-Tailed Distributed Datasets and Diverse Features in Financial Credit Risk
inferred← citeshttps://doi.org/10.24840/2183-6493_008.002_0005openalex-snapshot
Impact of Cyber-Attacks on Economy of Smart Grid and their Prevention
inferred← citeshttps://doi.org/10.3390/app122111073openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics13061057openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics14152943openalex-snapshot
Research on Attack Node Localization in Cyber–Physical Systems Based on Residual Analysis and Cooperative Game Theory
inferred← citeshttps://doi.org/10.3390/electronics8090941openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en15010212openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en15228692openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en15249426openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en16052288openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en16135206openalex-snapshot
Review of Cyberattack Implementation, Detection, and Mitigation Methods in Cyber-Physical Systems
inferred← citeshttps://doi.org/10.3390/en16165972openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en16186678openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/info12080328openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s21072478openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/su13063196openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/su14116407openalex-snapshot
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inferred← citeshttps://doi.org/10.36227/techrxiv.17032898openalex-snapshot
Algorithm Design for Resilient Cyber-Physical Systems using an Automated Attack Generative Model
inferred← citeshttps://doi.org/10.36227/techrxiv.17032898.v1openalex-snapshot
Algorithm Design for Resilient Cyber-Physical Systems using an Automated Attack Generative Model
inferred← citeshttps://doi.org/10.48550/arxiv.2009.05184openalex-snapshot
STEP-GAN: A Step-by-Step Training for Multi Generator GANs with application to Cyber Security in Power Systems
inferred← citeshttps://doi.org/10.48550/arxiv.2010.00661openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2101.06897openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2103.16085openalex-snapshot
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inferred← citeshttps://doi.org/10.58496/mjcs/2022/005openalex-snapshot
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inferred← citeshttps://doi.org/10.65890/race.v1i2.157openalex-snapshot
PowerGNN: Using Spatial Intelligence for Autonomous Grid Resilience
inferred← citeshttps://doi.org/10.70675/404b02c6zbc4bz441dz98a6z9284f0137686openalex-snapshot
Attack Modelling and Detection in Distributed and Cooperative Controlled Microgrid Systems
inferred← citeshttps://doi.org/10.7717/peerj-cs.1840openalex-snapshot
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