Hybrid Attack Detection Framework for Industrial Control Systems using 1D-Convolutional Neural Network and Isolation Forest

Research article (2020 IEEE Conference on Control Technology and Applications (CCTA), 2020) · cited 18× · AI/ML
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Hybrid Attack Detection Framework for Industrial Control Systems using 1D-Convolutional Neural Network and Isolation Forest

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Hybrid Attack Detection Framework for Industrial Control Systems using 1D-Convolutional Neural Network and Isolation Forest is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid Attack Detection Framework for Industrial Control Systems using 1D-Convolutional Neural Network and Isolation Forest. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-attack-detection-framework-for-industrial-control-systems-using-1d-convolutional-neural-network-and-isolation-for
MLA “Hybrid Attack Detection Framework for Industrial Control Systems using 1D-Convolutional Neural Network and Isolation Forest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-attack-detection-framework-for-industrial-control-systems-using-1d-convolutional-neural-network-and-isolation-for.
BibTeX @misc{4ortxyz_hybrid-attack-detection-framework-for-industrial-control-systems-using-1d-convolutional-neural-network-and-isolation-for_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid Attack Detection Framework for Industrial Control Systems using 1D-Convolutional Neural Network and Isolation Forest}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-attack-detection-framework-for-industrial-control-systems-using-1d-convolutional-neural-network-and-isolation-for}, note = {Accessed: 2026-05-24}}
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