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”, Information Fusion, 2024, 102231, ISSN 1566-2535, (JCR-2022 (4/145)[D1] - Computer Science, Artificial Intelligence) https://doi.org/10.1016/j.inffus.2024.102231.

Angel L. Perales, Lorenzo Fernandez Maimo, Alberto Huertas Celdran, Felix J. Garcia Clemente, “VAASI: Crafting Valid and Abnormal Adversarial Samples for Anomaly Detection Systems in Industrial Scenarios”, Journal of Information Security and Applications, vol. 79, 2023. (JCR-2022 (41/158[Q2] - Computer Science, Inf Systems) - 5,600) https://doi.org/10.1016/j.jisa.2023.103647

Angel L. Perales Gomez, Lorenzo Fernandez Maimo, Alberto Huertas Celdran, Felix J. Garcia Clemente, “An Interpretable Semi-Supervised System for Detecting Cyberattacks Using Anomaly Detection in Industrial Scenarios”, IET Information Security, in press. (JCR-2022 (70/111[Q3] - Computer Science, Theory & Methods) - 1,400) https://doi.org/10.1049/ise2.12115

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”, Sustainable Computing: Informatics and Systems, vol. 37, 100842, 2023, ISSN 2210-5379, (JCR-2022 (11/54[Q1] - Computer Science, Hardware & Architecture - 4.5), https://doi.org/10.1016/j.suscom.2022.100842

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, vol. 10, 124582-124594, 2022 (JCR-2021 (79/164[Q2] - Computer Science, Information Systems - 3.758), https://doi.org/10.1109/ACCESS.2022.3224930

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”, Computers & Security, vol. 103, p. 102168, 2021, (JCR-2019 (42/156[Q2] - Computer Science, Information Systems - 3.579) https://doi.org/10.1016/j.cose.2020.102168

Angel Luis Perales Gomez, Lorenzo Fernandez Maimo, Alberto Huertas Celdran, Felix J. Garcia Clemente, Manuel Gil Perez, Gregorio Martinez Perez, “SafeMan: A Unified Framework to Manage Cybersecurity and Safety in Manufacturing Industry”, Software: Practice and Experience, vol. 51, issue 3, pp. 607-627, March 2021. (JCR-2020 (52/108[Q2] – Computer Science, Soft Eng) - 2,028) https://doi.org/10.1002/spe.2879 (DOI de 2020)

Perales Gómez, Á.L.; Fernández Maimó, L.; Huertas Celdrán, A.; García Clemente, F.J. “MADICS: A Methodology for Anomaly Detection in Industrial Control Systems”, Symmetry 2020, 12, 1583. (JCR-2020 (32/126[Q1] – Multidisciplinary Sciences) - 2,713) https://doi.org/10.3390/sym12101583

S. L. Bernal, A. H. Celdrán, L. F. Maimó, M. T. Barros, S. Balasubramaniam and G. M. Pérez, “Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling,” in IEEE Access, vol. 8, pp. 152204-152222, 2020 (JCR-2019 (35/156[Q1] - Computer Science, Inf Systems) - 3,745) https://doi.org/10.1109/ACCESS.2020.3017394

Pedro M. Sánchez Sánchez, José M. Jorquera Valero, Mattia Zago, Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Eduardo López Bernal, Sergio López Bernal, Javier Martínez Valverde, Pantaleone Nespoli, Javier Pastor Galindo, Ángel L. Perales Gómez, Manuel Gil Pérez, Gregorio Martínez Pérez, “BEHACOM - a dataset modelling users’ behaviour in computers”, Data in Brief, Volume 31, 105767, 2020 (SJR-2019 Q4 Education), https://doi.org/10.1016/j.dib.2020.105767.

Ángel Luis Peráles Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente, Cristina Cadenas Sarmiento, Carlos Javier del Canto Masa, Rubén Méndez Nistal, “On the Generation of Anomaly Detection Datasets in Industrial Control Systems”, IEEE Access, 7, 177460-177473, 2019. (JCR-2019 (35/156[Q1] – Computer Science, Inf Systems) – 3,745) https://doi.org/10.1109/ACCESS.2019.2958284

Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Ángel L. Perales Gómez, Félix J. García Clemente, James Weimer, Insup Lee, “Intelligent and dynamic ransomware spread detection and mitigation in integrated clinical environments”, Sensors, vol. 19, no. 5, art-no. 1114, 2019. (JCR-2019 (18/90[Q1] – Telecommunications) – 4,594) http://dx.doi.org/10.3390/s19051114

Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Manuel Gil Pérez, Félix J. García Clemente, and Gregorio Martínez Pérez, “Dynamic Management of a Deep Learning-Based Anomaly Detection System for 5G Networks,” Journal of Ambient Intelligence and Humanized Computing, Special Issue on Deep Learning Models for Human Centered Computing in Fog and Mobile Edge Networks, vol. 10, no. 8, pp. 3083-3097, August 2019. (IF: 4.594, Q1). https://doi.org/10.1007/s12652-018-0813-4

Lorenzo Fernandez Maimo, Angel Luis Perales Gomez, Felix J. Garcia Clemente, Manuel Gil Perez, Gregorio Martinez Perez, “A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks”, IEEE Access, vol. 6, pp. 7700-7712, 2018. (JCR-2017 19/87[Q1] Telecommunications – 3,557) http://dx.doi.org/10.1109/ACCESS.2018.2803446

Jorquera Valero, J., Sánchez Sánchez, P., Fernández Maimó, L., Huertas Celdrán, A., Arjona Fernández, M., De Los Santos Vílchez, S., Martínez Pérez, G. “Improving the security and QoE in mobile devices through an intelligent and adaptive continuous authentication system”. Sensors, 18(11), 3769, 2018. (JCR-2018 15/61[Q1] Instr. & Instr. – 3,031 http://dx.doi.org/10.3390/s18113769

Ruiz, A., Lopez-de-Teruel, P. E., & Fernandez-Maimo, L. (2017). Efficient planar affine canonicalization. Pattern Recognition, 72, 236-253. (16/132 [Q1] Computer Science and Artificial Intelligence – 3,965) http://dx.doi.org/10.1016/j.patcog.2017.07.017

Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente, “Crafting Adversarial Samples for Anomaly Detectors in Industrial Control Systems”, The 4th International Conference on Emerging Data and Industry 4.0 (EDI40), Varsovia (Polonia), 23-26 Marzo 2020.

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”, International Conference on Smart City and Informatization (iSCI 2019), Communications in Computer and Information Science, vol 1122, pp. 73-85. Springer, Singapore

Lorenzo Fernández Maimo, Félix J. García Clemente, Manuel Gil Pérez, Gregorio Martínez Pérez, “On the Performance of a Deep Learning-Based Anomaly Detection System for 5G Networks”, IEEE Smart World Congress (SmartWorld 2017), San Francisco (USA), 2017.

Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas, Félix J. García Clemente, “A Review of MADICS: A Methodology for Anomaly Detection in Industrial Control Systems”, Actas de las VI Jornadas Nacionales de Investigación en Ciberseguridad Junio 8-10, 2021, Cuenca. Universidad de Castilla-La Mancha (JNIC2021 Live). Servicio de Publicaciones.

José María Valero Jorquera, Pedro Miguel Sánchez Sanchez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Marcos Arjona Fernández, Gregorio Martínez Pérez, “A review of improving the security and QoE in mobile devices through an inteligent and adaptive continuous authentication system”, Actas de las V Jornadas Nacionales de Ciberseguridad Junio 5-7, 2019, Cáceres (pp. 289-290). Servicio de Publicaciones.

Perales Gómez, Ángel Luis, et al. “Malware Detection in Industrial Scenarios Using Machine Learning and Deep Learning Techniques.” Advances in Malware and Data-Driven Network Security, edited by Brij B. Gupta, IGI Global, 2022, pp. 74-93. https://doi.org/10.4018/978-1-7998-7789-9.ch005

Lorenzo Fernandez Maimo, Alberto Huertas Celdran, Felix J. Garcia Clemente, “Anomaly Detection on Encrypted and High-Performance Data Networks by Means of Machine Learning Techniques”, Book Chapter, Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS). New York: Chapman and Hall/CRC, Chapter 7, pp. 1-24. 2020. https://doi.org/10.1201/9780429270567

Angel Luis Perales Gomez, Lorenzo Fernandez Maimo, Felix J. Garcia Clemente, “A Deep Learning-Based System for Network Cyber Threat Detection”, Book Chapter, Machine Learning for Computer and Cyber Security: Principles, Algorithms, and Practices, CRC Press, Taylor & Francis, pp. 1-25, 2019. (ie-CSIC 2018 valor ALTO).