IMDEA Networks
Publications
Adaptative generalisation over a value hierarchy for the k-anonymisation of Origin-Destination matrices
Benoit Matet, Angelo Furno, Marco Fiore, Etienne Côme, Latifa Oukhellou
Transportation Research Part C: Emerging Technologies. Elsevier. Septiembre 2023
Fast Detection of Cyberattacks on the Metaverse through User-plane Inference
Beyza Bütün, Aristide Tanyi Jong Akem, Michele Gucciardo, Marco Fiore
International Conference on Metaverse Computing, Networking and Applications. Kyoto, Japan. Junio 2023
Showcasing In-Switch Machine Learning Inference (Demo)
Aristide Tanyi Jong Akem, Beyza Bütün, Michele Gucciardo, Marco Fiore
IEEE International Conference on Network Softwarization. Madrid, Spain. Junio 2023
Orchestration Procedures for the Network Intelligence Stratum in 6G Networks
Livia Elena Chatzieleftheriou, Marco Gramaglia, Miguel Camelo, Andres Garcia-Saavedra, Evangelos Kosmatos, Michele Gucciardo, Paola Soto, George Iosifidis, Lidia Fuentes, Ginés García, Andra Lutu, Gabriele Baldoni, Marco Fiore
2023 EuCNC & 6G Summit. Gothenburg, Sweden. Junio 2023
France Through the Lens of Mobile Traffic Data
Orlando E. Martínez-Durive, Sachit Mishra, Cezary Ziemlicki, Stefania Rubrichi, Zbigniew Smoreda, Marco Fiore
10.23919/TMA58422.2023.10198971. IEEE Network Traffic Measurement and Analysis Conference. Naples, Italy. Mayo 2023
Demonstrating Flow-Level In-Switch Inference (Demo)
Michele Gucciardo, Aristide Tanyi Jong Akem, Beyza Bütün, Marco Fiore
IEEE International Conference on Computer Communications. New York, United States. Mayo 2023
The NetMob23 Dataset: A High-resolution Multi-region Service-level Mobile Data Traffic Cartography
Orlando E. Martínez-Durive, Sachit Mishra, Cezary Ziemlicki, Stefania Rubrichi, Zbigniew Smoreda, Marco Fiore
Arxiv. Mayo 2023
Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests
Aristide Tanyi Jong Akem, Michele Gucciardo, Marco Fiore
IEEE International Conference on Computer Communications. New York, United States. Mayo 2023
AutoManager: a Meta-Learning Model for Network Management from Intertwined Forecasts
Alan Collet, Antonio Bazco-Nogueras, Albert Banchs, Marco Fiore
IEEE International Conference on Computer Communications. New York, United States. Mayo 2023
Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens
Serly Moghadas, Claudio Fiandrino, Alan Collet, Giulia Attanasio, Marco Fiore, Joerg Widmer
IEEE International Conference on Computer Communications. New York, United States. Mayo 2023
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