مؤتمر
Tutorial: Federated Learning × Security for Network Monitoring
| العنوان: | Tutorial: Federated Learning × Security for Network Monitoring |
|---|---|
| المؤلفون: | Busnel, Yann, Lavaur, Léo |
| المساهمون: | Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Institut Mines-Télécom Paris (IMT), Self-prOtecting The futurE inteRNet (SOTERN), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Chaire Cybersécurité des Infrastructures Critiques (CyberCNI), Département Systèmes Réseaux, Cybersécurité et Droit du numérique (IMT Atlantique - SRCD), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), IEEE |
| المصدر: | 44th IEEE International Conference on Distributed Computing Systems (ICDCS 2024) https://hal.science/hal-04606894Test 44th IEEE International Conference on Distributed Computing Systems (ICDCS 2024), IEEE, Jul 2024, Jersey City, NJ, United States https://icdcs2024.icdcs.orgTest/ |
| بيانات النشر: | HAL CCSD |
| سنة النشر: | 2024 |
| المجموعة: | Université de Rennes 1: Publications scientifiques (HAL) |
| مصطلحات موضوعية: | Federated Learning, Network Security, Collaborative Intrusion Detection System, Network Monitoring, Data poisoning, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] |
| جغرافية الموضوع: | Jersey City, NJ, United States |
| الوصف: | International audience ; Federated Learning (FL) is a Machine Learning paradigm that enables training models across distributed clients without accessing their data. In the context of network security, FL can be used to collaboratively train Intrusion Detection System (IDS) models across multiple organizations, virtually extending the local dataset of each participant. Among the new challenges raised by this approach, the heterogeneity of the clients’ environments induces consequent differences in the data distributions, and therefore contributions. Further, identifying and mitigating malicious contributions is made more complex in heterogeneous environments. This tutorial introduces the audience to the principles of FL and its application to network security, and more specifically to build Collaborative Intrusion Detection Systems (CIDSs) using FL. We address open challenges on that regard, before focusing on the problem of training on heterogeneous data.Finally, we discuss the issues raised by using FL in the context of network security, with a particular focus on poisoning attacks. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| العلاقة: | hal-04606894; https://hal.science/hal-04606894Test; https://hal.science/hal-04606894/documentTest; https://hal.science/hal-04606894/file/Tutorial__FL_x_Security_for_Network_Monitoring-2.pdfTest |
| الإتاحة: | https://hal.science/hal-04606894Test https://hal.science/hal-04606894/documentTest https://hal.science/hal-04606894/file/Tutorial__FL_x_Security_for_Network_Monitoring-2.pdfTest |
| حقوق: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.4003A012 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |