Ángel Luis Perales Gómez

29 papers Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anticipating Adversary Behavior in DevSecOps Scenarios through Large Language Models. CoRR Mario Marín Caballero, Miguel Betancourt Alonso, Daniel Díaz López, Ángel Luis Perales Gómez, Pantaleone Nespoli, Gregorio Martínez Pérez
2026	J	`jnl`	ShaTS: a Shapley-based explainability method for time series artificial intelligence models. Future Gener. Comput. Syst. Manuel Franco de la Peña, Ángel Luis Perales Gómez, Lorenzo Fernández Maimó
2026	J	`jnl`	Toward a Military Smart Cyber Situational Awareness (CSA). CoRR Anthony Feijó-Añazco, Antonio López Martínez, Daniel Díaz López, Ángel Luis Perales Gómez, Pantaleone Nespoli, Gregorio Martínez Pérez
2025	J	`jnl`	DEFENDIFY: defense amplified with transfer learning for obfuscated malware framework. Cybersecur. Rodrigo Castillo Camargo, Juan Murcia Nieto, Nicolás Rojas, Daniel Díaz López, Santiago Alférez, Ángel Luis Perales Gómez, Pantaleone Nespoli, Félix Gómez Mármol, Umit Karabiyik
2025	J	`jnl`	Detection of Adversarial Attacks Using Deep Learning and Features Extracted From Interpretability Methods in Industrial Scenarios. IEEE Access Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente
2025	J	`jnl`	Fog computing-driven logistics: leveraging few-shot learning and foundational computer vision models. Clust. Comput. Juan Jesús Losada Del Olmo, Emilio Pardo Ballesteros, Ángel Luis Perales Gómez, Pedro E. López-de-Teruel, Alberto Ruiz, Félix J. García Clemente
2025	J	`jnl`	Reporte de vulnerabilidades en IIoT. Proyecto DEFENDER. CoRR Pedro Almansa Jiménez, Lorenzo Fernández Maimó, Ángel Luis Perales Gómez
2025	J	`jnl`	ShaTS: A Shapley-based Explainability Method for Time Series Artificial Intelligence Models applied to Anomaly Detection in Industrial Internet of Things. CoRR Manuel Franco de la Peña, Ángel Luis Perales Gómez, Lorenzo Fernández Maimó
2025	J	`jnl`	Simulating Cyberattacks through a Breach Attack Simulation (BAS) Platform empowered by Security Chaos Engineering (SCE). CoRR Arturo Sánchez-Matas, Pablo Escribano Ruiz, Daniel Díaz López, Ángel Luis Perales Gómez, Pantaleone Nespoli, Gregorio Martínez Pérez
2024	J	`jnl`	A few-shot learning methodology for improving safety in industrial scenarios through universal self-supervised visual features and dense optical flow. Appl. Soft Comput. Juan Jesús Losada Del Olmo, Ángel Luis Perales Gómez, Pedro E. López-de-Teruel, Alberto Ruiz
2024	—	`conf`	Advancing Threat Detection in Fog Computing: A Comprehensive Approach to Real-Time Analysis and Model Generation. FMEC Lucía Cuadrillero Paredes, Ángel Luis Perales Gómez, Óscar Cánovas, Lorenzo Fernández Maimó, Félix J. García Clemente
2024	J	`jnl`	Corrigendum to "Fedstellar: A platform for decentralized federated learning" [Expert Syst. Appl. 242 (2024) 122861]. Expert Syst. Appl. Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Pedro Miguel Sánchez Sánchez, Pedro Guijas Bravo, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
2024	—	`conf`	Enhacing Logistics with Computer Vision and Fog Computing-Driven Auto-ID Technologies. FMEC Juan Jesús Losada Del Olmo, Ángel Luis Perales Gómez, Pedro E. López-de-Teruel Alcolea, Alberto Ruiz García, Félix J. García Clemente
2024	J	`jnl`	Fedstellar: A Platform for Decentralized Federated Learning. Expert Syst. Appl. Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
2024	J	`jnl`	MeloDI: An Internet of Things Architecture to Evaluate Melon Quality by Means of Machine Learning Using Sensors Data and Drone Images. IEEE Access Ángel Luis Perales Gómez, Juan Jesús Losada Del Olmo, Pedro E. López-de-Teruel, Alberto Ruiz, Félix J. García Clemente, Andrés Conesa Bueno
2023	J	`jnl`	An interpretable semi-supervised system for detecting cyberattacks using anomaly detection in industrial scenarios. IET Inf. Secur. Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente
2023	J	`jnl`	Behavioral fingerprinting to detect ransomware in resource-constrained devices. Comput. Secur. Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jan von der Assen, Dennis Shushack, Ángel Luis Perales Gómez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller
2023	J	`jnl`	Fedstellar: A Platform for Decentralized Federated Learning. CoRR Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
2023	J	`jnl`	SUSAN: A Deep Learning based anomaly detection framework for sustainable industry. Sustain. Comput. Informatics Syst. Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente
2023	J	`jnl`	TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning. CoRR Ángel Luis Perales Gómez, Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán
2023	J	`jnl`	VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios. J. Inf. Secur. Appl. Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente
2022	J	`jnl`	A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios. IEEE Access Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Félix J. García Clemente, Javier Alejandro Maroto Morales, Alberto Huertas Celdrán, Gérôme Bovet
2022	J	`jnl`	FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming. Clust. Comput. Ángel Luis Perales Gómez, Pedro E. López-de-Teruel, Alberto Ruiz, Ginés García-Mateos, Gregorio Bernabé García, Félix J. García Clemente
2021	—	`conf`	Crafting Adversarial Samples for Anomaly Detectors in Industrial Control Systems. ANT/EDI40 Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente, Frances Cleary
2021	J	`jnl`	SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry. Softw. Pract. Exp. Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente, Manuel Gil Pérez, Gregorio Martínez Pérez
2020	J	`jnl`	MADICS: A Methodology for Anomaly Detection in Industrial Control Systems. Symmetry Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente
2019	J	`jnl`	Intelligent and Dynamic Ransomware Spread Detection and Mitigation in Integrated Clinical Environments. Sensors Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Ángel Luis Perales Gómez, Félix J. García Clemente, James Weimer, Insup Lee
2019	J	`jnl`	On the Generation of Anomaly Detection Datasets in Industrial Control Systems. IEEE Access Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente, Cristian Cadenas Sarmiento, Carlos Javier Del Canto Masa, Rubén Méndez Nistal
2018	J	`jnl`	A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks. IEEE Access Lorenzo Fernández Maimó, Ángel Luis Perales Gómez, Félix J. García Clemente, Manuel Gil Pérez, Gregorio Martínez Pérez