مؤتمر
Systematic Analysis of Label-flipping Attacks against Federated Learning in Collaborative Intrusion Detection Systems
| العنوان: | Systematic Analysis of Label-flipping Attacks against Federated Learning in Collaborative Intrusion Detection Systems |
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| المؤلفون: | Lavaur, Léo, Busnel, Yann, Autrel, Fabien |
| المساهمون: | 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), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Institut Mines-Télécom Paris (IMT), This research is part of the chair CyberCNI.fr with support of the FEDER development fund of the Brittany region., ACM |
| المصدر: | The 19th International Conference on Availability, Reliability and Security (ARES 2024) ; The 19th International Conference on Availability, Reliability and Security ; https://hal.science/hal-04559018Test ; The 19th International Conference on Availability, Reliability and Security, Jul 2024, Vienna, Austria. ⟨10.1145/3664476.3670434⟩ |
| بيانات النشر: | HAL CCSD |
| سنة النشر: | 2024 |
| مصطلحات موضوعية: | intrusion detection, data-poisoning, label-flipping, backdoors, systematic analysis, quantitative assessment, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR] |
| جغرافية الموضوع: | Vienna, Austria |
| الوصف: | International audience ; With the emergence of federated learning (FL) and its promise of privacy-preserving knowledge sharing, the field of intrusion detection systems (IDSs) has seen a renewed interest in the develop- ment of collaborative models. However, the distributed nature of FL makes it vulnerable to malicious contributions from its participants, including data poisoning attacks. The specific case of label-flipping attacks, where the labels of a subset of the training data are flipped, has been overlooked in the context of IDSs that leverage FL primi- tives. This study aims to close this gap by providing a systematic and comprehensive analysis of the impact of label-flipping attacks on FL for IDSs. We show that such attacks can still have a significant impact on the performance of FL models, especially targeted ones, depending on parameters and dataset characteristics. Additionally, the provided tools and methodology can be used to extend our find- ings to other models and datasets, and benchmark the efficiency of existing countermeasures. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| العلاقة: | hal-04559018; https://hal.science/hal-04559018Test; https://hal.science/hal-04559018/documentTest; https://hal.science/hal-04559018/file/main.pdfTest |
| DOI: | 10.1145/3664476.3670434 |
| الإتاحة: | https://doi.org/10.1145/3664476.3670434Test https://hal.science/hal-04559018Test https://hal.science/hal-04559018/documentTest https://hal.science/hal-04559018/file/main.pdfTest |
| حقوق: | http://creativecommons.org/licenses/byTest/ ; info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.E69199CD |
| قاعدة البيانات: | BASE |
| DOI: | 10.1145/3664476.3670434 |
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