| A self-adaptive deep learning-based system for anomaly detection in 5G networks L Fernández Maimó, ÁL Perales Gómez, FJ García Clemente, M Gil Pérez, ... IEEE Access 6, 7700-7712, 2018 | 338 | 2018 |
| Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges ET Martínez Beltrán, M Quiles Pérez, PM Sánchez Sánchez, ... IEEE Communications Surveys & Tutorials 25 (4), 2983-3013, 2023 | 298 | 2023 |
| A survey on device behavior fingerprinting: Data sources, techniques, application scenarios, and datasets PM Sánchez Sánchez, JM Jorquera Valero, A Huertas Celdrán, G Bovet, ... IEEE Communications Surveys & Tutorials 23 (2), 1048-1077, 2021 | 137 | 2021 |
| SeCoMan: A semantic-aware policy framework for developing privacy-preserving and context-aware smart applications A Huertas Celdrán, FJ García Clemente, M Gil Pérez, G Martínez Pérez IEEE Systems Journal 10 (3), 1111-1124, 2014 | 107 | 2014 |
| Spotting political social bots in Twitter: A use case of the 2019 Spanish general election J Pastor-Galindo, M Zago, P Nespoli, S López Bernal, A Huertas Celdrán, ... IEEE Transactions on Network and Service Management 17 (4), 2156-2170, 2020 | 85 | 2020 |
| A comprehensive review of the state of the art on security and privacy issues in Healthcare A López Martínez, M Gil Pérez, A Ruiz-Martínez ACM Computing Surveys 55 (12), 249:1-38, 2022 | 79 | 2022 |
| Dynamic management of a deep learning-based anomaly detection system for 5G networks L Fernández Maimó, A Huertas Celdrán, M Gil Pérez, FJ García Clemente, ... Journal of Ambient Intelligence and Humanized Computing 10 (8), 3083-3097, 2019 | 77 | 2019 |
| AI and ML–Enablers for beyond 5G Networks D Camps Mur, A Gavras, M Ghoraishi, H Hrasnica, A Kaloxylos Technical Report by 5G PPP Technology Board, 2021 | 58* | 2021 |
| UMUDGA: A dataset for profiling DGA-based botnet M Zago, M Gil Pérez, G Martínez Pérez Computers & Security 92, 101719, 2020 | 58 | 2020 |
| A novel Machine Learning-based approach for the detection of SSH botnet infection JT Martínez Garre, M Gil Pérez, A Ruiz-Martínez Future Generation Computer Systems 115, 387-396, 2021 | 51 | 2021 |
| Fedstellar: A platform for decentralized federated learning ET Martínez Beltrán, ÁL Perales Gómez, C Feng, PM Sánchez Sánchez, ... Expert Systems with Applications 242, 122861:1-15, 2024 | 50 | 2024 |
| PKI-based trust management in inter-domain scenarios G López Millán, M Gil Pérez, G Martínez Pérez, AF Gómez Skarmeta Computers & Security 29 (2), 278-290, 2010 | 50 | 2010 |
| RepCIDN: A reputation-based collaborative intrusion detection network to lessen the impact of malicious alarms M Gil Pérez, F Gómez Mármol, G Martínez Pérez, AF Skarmeta Gómez Journal of Network and Systems Management 21 (1), 128-167, 2013 | 49 | 2013 |
| Design of a recommender system based on users' behavior and collaborative location and tracking A Huertas Celdrán, M Gil Pérez, FJ García Clemente, G Martínez Pérez Journal of Computational Science 12, 83-94, 2016 | 47 | 2016 |
| Sustainable securing of medical cyber-physical systems for the healthcare of the future A Huertas Celdrán, M Gil Pérez, FJ García Clemente, G Martínez Pérez Sustainable Computing: Informatics and Systems 19, 138-146, 2018 | 45 | 2018 |
| Dynamic reconfiguration in 5G mobile networks to proactively detect and mitigate botnets M Gil Pérez, A Huertas Celdrán, F Ippoliti, PG Giardina, G Bernini, ... IEEE Internet Computing 21 (5), 28-36, 2017 | 44 | 2017 |
| On the performance of a deep learning-based anomaly detection system for 5G networks L Fernández Maimó, FJ García Clemente, M Gil Pérez, G Martínez Pérez 3rd IEEE Smart World Congress (SmartWorld), 303-310, 2017 | 44* | 2017 |
| Scalable detection of botnets based on DGA: Efficient feature discovery process in machine learning techniques M Zago, M Gil Pérez, G Martínez Pérez Soft Computing 24, 5517-5537, 2020 | 41 | 2020 |
| SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry ÁL Perales Gómez, L Fernández Maimó, A Huertas Celdrán, ... Software: Practice and Experience, 2020 | 31 | 2020 |
| UMUDGA: A dataset for profiling algorithmically generated domain names in botnet detection M Zago, M Gil Pérez, G Martínez Pérez Data in Brief 30, 105400, 2020 | 31 | 2020 |
Gregorio Martinez PerezFull Professor of Computer Science, University of Murcia, SpainAdresse e-mail validée de um.es
