Detection of cyber attacks in smart grids using SVM-boosted machine learning models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Management Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s11761-022-00349-1.pdf
Reference20 articles.
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3. Qi R, Rasband C, Zheng J, Longoria R (2021) Detecting cyber attacks in smart grids using semi-supervised anomaly detection and deep representation learning. Information. https://doi.org/10.3390/info12080328
4. Saghezchi FB, Mantas G, Violas MA, de Oliveira Duarte AM, Rodriguez J (2022) Machine Learning for DDoS Attack Detection in Industry 40 CPPSs. Electronics 11(4):1–14. https://doi.org/10.3390/electronics11040602
5. Intruders L, Grids S, Rouzbahani HM, Karimipour, Lei L (2022) Multi-layer defense algorithm against deep reinforcement multi-layer defense algorithm against deep reinforcement learning-based intruders in smart grids. pp 0–10. doi: https://doi.org/10.36227/techrxiv.19398449.v1.
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