Enrique Mármol Campos

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks.
CoRR
Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández-Ramos, Antonio F. Skarmeta
2025 J jnl
FedRDF: A Robust and Dynamic Aggregation Function Against Poisoning Attacks in Federated Learning.
IEEE Trans. Emerg. Top. Comput.
Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández-Ramos, Antonio F. Skarmeta
2025 J jnl
Federated learning for misbehaviour detection with variational autoencoders and Gaussian mixture models.
Int. J. Inf. Sec.
Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández-Ramos, Antonio F. Skarmeta
2025 J jnl
Intrusion Detection Based on Federated Learning: A Systematic Review.
ACM Comput. Surv.
José Luis Hernández-Ramos, Georgios Karopoulos, Efstratios Chatzoglou, Vasileios Kouliaridis, Enrique Mármol Campos, Aurora González-Vidal, Georgios Kambourakis
2024 J jnl
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning.
CoRR
Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández-Ramos, Antonio F. Skarmeta
2024 J jnl
Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models.
CoRR
Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández-Ramos, Antonio F. Skarmeta
2024 J jnl
Misbehavior detection in intelligent transportation systems based on federated learning.
Internet Things
Enrique Mármol Campos, José Luis Hernández-Ramos, Aurora González-Vidal, Gianmarco Baldini, Antonio F. Skarmeta
2023 — conf
Federated Transfer Learning for Energy Efficiency in Smart Buildings.
INFOCOM Workshops
Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández-Ramos, Antonio F. Skarmeta
2023 J jnl
Intrusion Detection Based on Privacy-Preserving Federated Learning for the Industrial IoT.
IEEE Trans. Ind. Informatics
Pedro Ruzafa Alcazar, Pablo Fernández Saura, Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández-Ramos, Jorge Bernal Bernabé, Antonio F. Skarmeta
2023 J jnl
Intrusion Detection based on Federated Learning: a systematic review.
CoRR
José Luis Hernández-Ramos, Georgios Karopoulos, Efstratios Chatzoglou, Vasileios Kouliaridis, Enrique Mármol Campos, Aurora González-Vidal, Georgios Kambourakis
2022 J jnl
Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges.
Comput. Networks
Enrique Mármol Campos, Pablo Fernández Saura, Aurora González-Vidal, José Luis Hernández-Ramos, Jorge Bernal Bernabé, Gianmarco Baldini, Antonio F. Skarmeta
2022 J jnl
Federated Cyberattack Detection for Internet of Things-Enabled Smart Cities.
Computer
Sara Nieves Matheu, Enrique Mármol Campos, José Luis Hernández-Ramos, Antonio F. Skarmeta, Gianmarco Baldini
2021 J jnl
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges.
CoRR
Enrique Mármol Campos, Pablo Fernández Saura, Aurora González-Vidal, José Luis Hernández-Ramos, Jorge Bernal Bernabé, Gianmarco Baldini, Antonio F. Skarmeta