A novel univariate feature selection with ANOVA F-test-based machine learning model for Intrusion Detection Framework of Robotics system
Robotic systems have become popular across various industries, ranging from manufacturing and healthcare to logistics and space exploration. However, increasing the integration of robotic systems into critical infrastructures exposes devices to cybersecurity threats. The intrusion detection system (...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Taylor & Francis Group
2025-12-01
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| Series: | Applied Artificial Intelligence |
| Acceso en liña: | https://www.tandfonline.com/doi/10.1080/08839514.2025.2539395 |
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