Lorenzo Fernández Maimó

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 19

Top Topics

Detect Anomalies

Manufacturing Industry

Top Venues

SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI

Publications

Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Sergio López Bernal, Eduardo Horna Prat, Luis Montesano Del Campo, Lorenzo Fernández Maimó, Alberto Huertas Celdrán
Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges. Inf. Fusion 105 (2024)
Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente
An interpretable semi-supervised system for detecting cyberattacks using anomaly detection in industrial scenarios. IET Inf. Secur. 17 (4) (2023)
Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente
SUSAN: A Deep Learning based anomaly detection framework for sustainable industry. Sustain. Comput. Informatics Syst. 37 (2023)
Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente
VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios. J. Inf. Secur. Appl. 79 (2023)
Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Félix J. García Clemente, Javier Alejandro Maroto Morales, Alberto Huertas Celdrán, Gérôme Bovet
A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios. IEEE Access 10 (2022)
Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente, Manuel Gil Pérez, Gregorio Martínez Pérez
SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry. Softw. Pract. Exp. 51 (3) (2021)
Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente, Frances Cleary
Crafting Adversarial Samples for Anomaly Detectors in Industrial Control Systems. ANT/EDI40 (2021)
Pedro Miguel Sánchez Sánchez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Gregorio Martínez Pérez
AuthCODE: A privacy-preserving and multi-device continuous authentication architecture based on machine and deep learning. Comput. Secur. 103 (2021)
Sergio López Bernal, Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Michael Taynnan Barros, Sasitharan Balasubramaniam, Gregorio Martínez Pérez
Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling. CoRR (2020)
Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente
MADICS: A Methodology for Anomaly Detection in Industrial Control Systems. Symmetry 12 (10) (2020)
Sergio López Bernal, Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Michael Taynnan Barros, Sasitharan Balasubramaniam, Gregorio Martínez Pérez
Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling. IEEE Access 8 (2020)
Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Gregorio Martínez Pérez
AuthCODE: A Privacy-preserving and Multi-device Continuous Authentication Architecture based on Machine and Deep Learning. CoRR (2020)
Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Ángel Luis Perales Gómez, Félix J. García Clemente, James Weimer, Insup Lee
Intelligent and Dynamic Ransomware Spread Detection and Mitigation in Integrated Clinical Environments. Sensors 19 (5) (2019)
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
On the Generation of Anomaly Detection Datasets in Industrial Control Systems. IEEE Access 7 (2019)
Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Manuel Gil Pérez, Félix J. García Clemente, Gregorio Martínez Pérez
Dynamic management of a deep learning-based anomaly detection system for 5G networks. J. Ambient Intell. Humaniz. Comput. 10 (8) (2019)
Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Gregorio Martínez Pérez, Guojun Wang
Securing Smart Offices Through an Intelligent and Multi-device Continuous Authentication System. iSCI (2019)
Lorenzo Fernández Maimó, Ángel Luis Perales Gómez, Félix J. García Clemente, Manuel Gil Pérez, Gregorio Martínez Pérez
A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks. IEEE Access 6 (2018)
José María Jorquera Valero, Pedro Miguel Sánchez Sánchez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Marcos Arjona Fernández, Sergio De Los Santos Vílchez, Gregorio Martínez Pérez
Improving the Security and QoE in Mobile Devices through an Intelligent and Adaptive Continuous Authentication System. Sensors 18 (11) (2018)
Lorenzo Fernández Maimó, Félix J. García Clemente, Manuel Gil Pérez, Gregorio Martínez Pérez
On the performance of a deep learning-based anomaly detection system for 5G networks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Manuel E. Acacio, Javier Cuenca, Lorenzo Fernández Maimó, Ricardo Fernández Pascual, Joaquín Cervera, Domingo Giménez, M. Carmen Garrido, Juan A. Sánchez-Laguna, José Guillén, Juan Alejandro Palomino Benito, María-Eugenia Requena
An Experience of Early Initiation to Parallelism in the Computing Engineering Degree at the University of Murcia, Spain. IPDPS Workshops (2012)