An Improved Rough Set Theory based Feature Selection Approach for Intrusion Detection in SCADA Systems

Research article (Journal of Intelligent & Fuzzy Systems, 2019) · cited 22× · AI/ML
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An Improved Rough Set Theory based Feature Selection Approach for Intrusion Detection in SCADA Systems

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An Improved Rough Set Theory based Feature Selection Approach for Intrusion Detection in SCADA Systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Improved Rough Set Theory based Feature Selection Approach for Intrusion Detection in SCADA Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-improved-rough-set-theory-based-feature-selection-approach-for-intrusion-detection-in-scada-systems
MLA “An Improved Rough Set Theory based Feature Selection Approach for Intrusion Detection in SCADA Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-improved-rough-set-theory-based-feature-selection-approach-for-intrusion-detection-in-scada-systems.
BibTeX @misc{4ortxyz_an-improved-rough-set-theory-based-feature-selection-approach-for-intrusion-detection-in-scada-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Improved Rough Set Theory based Feature Selection Approach for Intrusion Detection in SCADA Systems}}, year = {2026}, url = {https://4ort.xyz/entity/an-improved-rough-set-theory-based-feature-selection-approach-for-intrusion-detection-in-scada-systems}, note = {Accessed: 2026-05-24}}
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