22 documents

  • Christophe Maudoux, Selma Boumerdassi. Unsupervised Anomaly Knowledge Flow: a Digital Signatures Extraction Approach. 2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM), Oct 2023, Istanbul, Turkey. pp.1-6, ⟨10.1109/WINCOM59760.2023.10323022⟩. ⟨hal-04316873⟩
  • Alessio Diamanti, Jose Manuel Sanchez Vilchez, Stefano Secci. An AI-empowered framework for cross-layer softwarized infrastructure state assessment. IEEE Transactions on Network and Service Management, 2022, 19 (4), pp.4434-4448. ⟨10.1109/TNSM.2022.3161872⟩. ⟨hal-03621081⟩
  • Agathe Blaise, Mathieu Bouet, Vania Conan, Stefano Secci. Group anomaly detection in mobile app usages: A spatiotemporal convex hull methodology. Computer Networks, 2022, pp.109277. ⟨10.1016/j.comnet.2022.109277⟩. ⟨hal-03753616⟩
  • Hnin Pann Phyu, Diala Naboulsi, Razvan Stanica. Mobile Traffic Forecasting for Network Slices: A Federated-Learning Approach. PIMRC 2022 - IEEE 33rd International Symposium on Personal, Indoor and Mobile Radio Communications, Sep 2022, Virtual, Japan. ⟨hal-03755115⟩
  • Nour-El-Houda Yellas, Selma Boumerdassi, Alberto Ceselli, Bilal Maaz, Stefano Secci. Robust Access Point Clustering in Edge Computing Resource Optimization. IEEE Transactions on Network and Service Management, 2022, 19 (3), pp.2738 - 2750. ⟨10.1109/TNSM.2022.3186856⟩. ⟨hal-03719676⟩
  • Salah Bin Ruba, Nour-El-Houda Yellas, Stefano Secci. Anomaly Detection for 5G Softwarized Infrastructures with Federated Learning. 2022 1st International Conference on 6G Networking (6GNet), Jul 2022, Paris, France. ⟨10.1109/6GNet54646.2022.9830390⟩. ⟨hal-03712114⟩
  • Dung Chi Phung, Nour-El-Houda Yellas, Salah Bin Ruba, Stefano Secci. An Open Dataset for Beyond-5G Data-driven Network Automation Experiments. 2022 1st International Conference on 6G Networking (6GNet), Jul 2022, Paris, France. ⟨10.1109/6GNet54646.2022.9830292⟩. ⟨hal-03698732v2⟩
  • Hnin Pann Phyu, Diala Naboulsi, Razvan Stanica. Poster: Privacy-Aware Decentralized Multi-Slice Traffic Forecasting. MobiSys 2022 - The 20th ACM International Conference on Mobile Systems, Applications, and Services, Jun 2022, Portland, United States. . ⟨hal-03755118⟩
  • Davide Aureli, Antonio Cianfrani, Marco Listanti, Marco Polverini, Stefano Secci. Augmenting DiffServ operations with dynamically learned classes of services. Computer Networks, 2022, 202, pp.108624. ⟨10.1016/j.comnet.2021.108624⟩. ⟨hal-03448680⟩
  • Loïc Bonnetain, Angelo Furno, Nour-Eddin El Faouzi, Marco Fiore, Razvan Stanica, et al.. TRANSIT: Fine-Grained Human Mobility Trajectory Inference at Scale with Mobile Network Signaling Data. Transportation research. Part C, Emerging technologies, 2021, 130, pp.1-34. ⟨10.1016/j.trc.2021.103257⟩. ⟨hal-03299297⟩