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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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Arguments Against Using the 1998 DARPA Dataset for Cloud IDS Design and Evaluation and Some Alternative2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.315-332, ⟨10.1007/978-3-030-45778-5_21⟩
Conference papers
hal-03266464v1
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Bayesian Classifiers in Intrusion Detection Systems2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.379-391, ⟨10.1007/978-3-030-45778-5_26⟩
Conference papers
hal-03266456v1
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