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    • Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning
      Python
      81200Updated Jun 18, 2025Jun 18, 2025
    • dune_demo

      Public
      DUNE demostration
      HTML
      0100Updated May 29, 2025May 29, 2025
    • DUNE

      Public
      DUNE: Distributed Inference in the User Plane
      Jupyter Notebook
      3200Updated May 17, 2025May 17, 2025
    • DeepMEND

      Public
      DeepMEND relies on the same input as traditional Voronoi decompositions, but provides a richer and more accurate rendering of where users are located.
      Jupyter Notebook
      Apache License 2.0
      0100Updated Jan 8, 2025Jan 8, 2025
    • Henna

      Public
      Henna: Hierarchical Machine Learning Inference in Programmable Switches
      Jupyter Notebook
      4400Updated Oct 24, 2024Oct 24, 2024
    • Real-time intrusion detection in the 5G UPF
      Python
      1400Updated Sep 24, 2024Sep 24, 2024
    • Ultra-Low Latency User-Plane Cyberattack Detection in SDN-based Smart Grids
      Jupyter Notebook
      1100Updated Jun 26, 2024Jun 26, 2024
    • Jewel

      Public
      Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches
      Python
      3810Updated Mar 18, 2024Mar 18, 2024
    • Flowrest

      Public
      Flowrest: in-switch flow-level classification with random forests
      P4
      62610Updated Mar 11, 2024Mar 11, 2024
    • MetaCom

      Public
      Fast Detection of Cyberattacks on the Metaverse through User-plane Inference
      P4
      2100Updated Mar 6, 2024Mar 6, 2024
    • This reppository includes code and data for the paper "Characterizing Mobile Service Demands at Indoor Cellular Networks"
      Jupyter Notebook
      0100Updated Nov 22, 2023Nov 22, 2023
    • Jupyter Notebook
      2100Updated Oct 18, 2023Oct 18, 2023
    • kansaas

      Public
      Jupyter Notebook
      MIT License
      2000Updated Sep 21, 2023Sep 21, 2023
    • Notebook for Netmob 2023 Data Challenge
      Jupyter Notebook
      12510Updated Jun 19, 2023Jun 19, 2023
    • AutoManager: a Meta-Learning Model for Network Management from Intertwined Forecasts
      Python
      2200Updated Jan 20, 2023Jan 20, 2023
    • VoronoiBoost, is a data-driven model that scales Voronoi cells to match the probabilistic distribution of users associated to each base station. Implementation of the paper "VoronoiBoost: Data-driven Probabilistic Spatial Mapping of Mobile Network Metadata" published in 2022 IEEE International Conference on Sensing, Communication, and Networking.
      Jupyter Notebook
      0000Updated Nov 9, 2022Nov 9, 2022
    • TES-RNN Model used in "Forecasting for Network Management with Joint Statistical Modelling and Machine Learning" paper published in 2022 IEEE 23rd International Symposium on "A World of Wireless, Mobile and Multimedia Networks (WoWMoM)"
      Python
      2000Updated May 19, 2022May 19, 2022
    • LossLeaP

      Public
      Loss Learning Predictor for regression problems
      Python
      5000Updated Jan 14, 2022Jan 14, 2022
    • Notebooks with the methodology for the INFOCOM 2022 paper "Impact of Later-Stages COVID-19 Response Measures on Spatiotemporal Mobile Service Usage"
      Jupyter Notebook
      1000Updated Jan 11, 2022Jan 11, 2022
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