contINuous deCentralized lEarNing of ioT devIces' behaVioural profilEs

Información del proyecto

INCENTIVE

Identificador del acuerdo de subvención: 101065524

DOI

10.3030/101065524

Proyecto cerrado

Fecha de la firma de la CE 14 Julio 2022

Fecha de inicio 1 Marzo 2023

Fecha de finalización 30 Abril 2025

Financiado con arreglo a

• Marie Skłodowska-Curie Actions (MSCA)

Coste total

Sin datos

Aportación de la UE

€ 181 152,96

Coordinado por

UNIVERSIDAD DE MURCIA
Spain

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Outreach Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Publicaciones

Peer reviewed articles (4)

Federated learning for misbehaviour detection with variational autoencoders and Gaussian mixture models

Autores: Enrique Mármol Campos, Aurora Gonzalez-Vidal, José L. Hernández-Ramos, Antonio Skarmeta
Publicado en: International Journal of Information Security, Edición 24, 2025, ISSN 1615-5262
Editor: Springer Science and Business Media LLC
DOI: 10.1007/s10207-025-01000-8

Misbehavior detection in intelligent transportation systems based on federated learning

Autores: Enrique Mármol Campos, José L. Hernandez-Ramos, Aurora González Vidal, Gianmarco Baldini, Antonio Skarmeta
Publicado en: Internet of Things, Edición 25, 2024, ISSN 2542-6605
Editor: Elsevier BV
DOI: 10.1016/j.iot.2024.101127

Intrusion Detection Based on Federated Learning: A Systematic Review

Autores: Jose Hernandez-Ramos, Georgios Karopoulos, Efstratios Chatzoglou, Vasileios Kouliaridis, Enrique Marmol, Aurora Gonzalez-Vidal, Georgios Kambourakis
Publicado en: ACM Computing Surveys, 2025, ISSN 0360-0300
Editor: Association for Computing Machinery (ACM)
DOI: 10.1145/3731596

FedRDF: A Robust and Dynamic Aggregation Function Against Poisoning Attacks in Federated Learning

Autores: Enrique Mármol Campos, Aurora Gonzalez-Vidal, José L. Hernández-Ramos, Antonio Skarmeta
Publicado en: IEEE Transactions on Emerging Topics in Computing, Edición 13, 2025, ISSN 2168-6750
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TETC.2024.3474484