contINuous deCentralized lEarNing of ioT devIces' behaVioural profilEs

Project Information

INCENTIVE

Grant agreement ID: 101065524

DOI 10.3030/101065524

Project closed

EC signature date 14 July 2022

Start date 1 March 2023

End date 30 April 2025

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost No data

EU contribution € 181 152,96

Coordinated by

UNIVERSIDAD DE MURCIA
Spain

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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.

Publications

Peer reviewed articles (4)

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

Author(s): Enrique Mármol Campos, Aurora Gonzalez-Vidal, José L. Hernández-Ramos, Antonio Skarmeta
Published in: International Journal of Information Security, Issue 24, 2025, ISSN 1615-5262
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/s10207-025-01000-8

Misbehavior detection in intelligent transportation systems based on federated learning

Author(s): Enrique Mármol Campos, José L. Hernandez-Ramos, Aurora González Vidal, Gianmarco Baldini, Antonio Skarmeta
Published in: Internet of Things, Issue 25, 2024, ISSN 2542-6605
Publisher: Elsevier BV
DOI: 10.1016/j.iot.2024.101127

Intrusion Detection Based on Federated Learning: A Systematic Review

Author(s): Jose Hernandez-Ramos, Georgios Karopoulos, Efstratios Chatzoglou, Vasileios Kouliaridis, Enrique Marmol, Aurora Gonzalez-Vidal, Georgios Kambourakis
Published in: ACM Computing Surveys, 2025, ISSN 0360-0300
Publisher: Association for Computing Machinery (ACM)
DOI: 10.1145/3731596

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

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