MADICS: A Methodology for Anomaly Detection in Industrial Control Systems von Perales Gómez, Ángel Luis, Fernández Maimó, Lorenzo, Huertas Celdrán, Alberto, García Clemente, Félix J.

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On the Generation of Anomaly Detection Datasets in Industrial Control Systems von Perales Gomez, Angel Luis, Fernandez Maimo, Lorenzo, Huertas Celdran, Alberto, Garcia Clemente, Felix J., Cadenas Sarmiento, Cristian, Del Canto Masa, Carlos Javier, Mendez Nistal, Ruben

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Crafting Adversarial Samples for Anomaly Detectors in Industrial Control Systems von Perales Gómez, Ángel Luis, Maimó, Lorenzo Fernández, Celdrán, Alberto Huertas, García Clemente, Félix J., Cleary, Frances

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An interpretable semi‐supervised system for detecting cyberattacks using anomaly detection in industrial scenarios von Perales Gómez, Ángel Luis, Fernández Maimó, Lorenzo, Huertas Celdrán, Alberto, García Clemente, Félix J.

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A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks von Fernandez Maimo, Lorenzo, Perales Gomez, Angel Luis, Garcia Clemente, Felix J., Gil Perez, Manuel, Martinez Perez, Gregorio

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Fedstellar: A Platform for Decentralized Federated Learning von Martínez Beltrán, Enrique Tomás, Perales Gómez, Ángel Luis, Feng, Chao, Sánchez Sánchez, Pedro Miguel, López Bernal, Sergio, Bovet, Gérôme, Gil Pérez, Manuel, Martínez Pérez, Gregorio, Huertas Celdrán, Alberto

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A few-shot learning methodology for improving safety in industrial scenarios through universal self-supervised visual features and dense optical flow von Losada del Olmo, Juan Jesús, Perales Gómez, Ángel Luis, López-de-Teruel, Pedro E., Ruiz, Alberto

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Behavioral fingerprinting to detect ransomware in resource-constrained devices von Huertas Celdrán, Alberto, Sánchez Sánchez, Pedro Miguel, von der Assen, Jan, Shushack, Dennis, Perales Gómez, Ángel Luis, Bovet, Gérôme, Martínez Pérez, Gregorio, Stiller, Burkhard

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VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios von Perales Gómez, Angel Luis, Fernández Maimó, Lorenzo, Huertas Celdrán, Alberto, García Clemente, Félix J.

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SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry von Perales Gómez, Ángel Luis, Fernández Maimó, Lorenzo, Huertas Celdrán, Alberto, García Clemente, Félix J., Gil Pérez, Manuel, Martínez Pérez, Gregorio

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SUSAN: A Deep Learning based anomaly detection framework for sustainable industry von Gómez, Ángel Luis Perales, Maimó, Lorenzo Fernández, Celdrán, Alberto Huertas, Clemente, Félix J. García

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FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming von Perales Gómez, Ángel Luis, López-de-Teruel, Pedro E., Ruiz, Alberto, García-Mateos, Ginés, Bernabé García, Gregorio, García Clemente, Félix J.

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Fedstellar: A Platform for Decentralized Federated Learning von Martínez Beltrán, Enrique Tomás, Perales Gómez, Angel Luis, Feng, Chao, Sánchez Sánchez, Pedro Miguel, López Bernal, Sergio, Bovet, Gérôme, Gil Pérez, Manuel, Martínez Pérez, Gregorio, Huertas Celdran, Alberto

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VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios von Perales Gómez, Angel Luis, Fernández Maimó, Lorenzo, Huertas Celdran, Alberto, García Clemente, Félix J

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A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios von Perales Gomez, Angel Luis, Maimo, Lorenzo Fernandez, Clemente, Felix J. Garcia, Morales, Javier Alejandro Maroto, Celdran, Alberto Huertas, Bovet, Gerome

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An interpretable semi‐supervised system for detecting cyberattacks using anomaly detection in industrial scenarios von Perales Gómez, Angel Luis, Fernández Maimó, Lorenzo, Huertas Celdran, Alberto, García Clemente, Félix J

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Corrigendum to “Fedstellar: A platform for decentralized federated learning” [Expert Syst. Appl. 242 (2024) 122861] von Martínez Beltrán, Enrique Tomás, Perales Gómez, Ángel Luis, Feng, Chao, Sánchez Sánchez, Pedro Miguel, Guijas Bravo, Pedro, López Bernal, Sergio, Bovet, Gérôme, Gil Pérez, Manuel, Martínez Pérez, Gregorio, Huertas Celdrán, Alberto

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Fedstellar: A Platform for Decentralized Federated Learning von Enrique Tomás Martínez Beltrán, Perales Gómez, Ángel Luis, Chao, Feng, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Bovet, Gérôme, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán

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TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning von Gómez, Ángel Luis Perales, Beltrán, Enrique Tomás Martínez, Sánchez, Pedro Miguel Sánchez, Celdrán, Alberto Huertas

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TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning von Perales Gómez, Ángel Luis, Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán

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