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Internet of Things: Security Between Challenges and Attacks2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.444-460, ⟨10.1007/978-3-030-45778-5_31⟩
Conference papers
hal-03266469v1
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Denoising Adversarial Autoencoder for Obfuscated Traffic Detection and Recovery2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.99-116, ⟨10.1007/978-3-030-45778-5_8⟩
Conference papers
hal-03266453v1
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Machine learning methods for anomaly detection in IoT networks, with illustrationsBoumerdassi S., Renault É., Mühlethaler P. (eds), Machine Learning for Networking, Lecture Notes in Computer Science, vol 12081. Springer, pp.287-295, 2020, ⟨10.1007/978-3-030-45778-5_19⟩
Book sections
hal-02977813v1
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A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.40-57, ⟨10.1007/978-3-030-45778-5_4⟩
Conference papers
hal-03266472v1
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