Intrusion Detection in Network Systems Through Hybrid Supervised and Unsupervised Machine Learning Process: A Case Study on the ISCX Dataset - Archive ouverte HAL
Communication Dans Un Congrès Année : 2018

Intrusion Detection in Network Systems Through Hybrid Supervised and Unsupervised Machine Learning Process: A Case Study on the ISCX Dataset

Saeid Soheily-Khah
Expressiveness in Human Centered Data/Media
Pierre-François Marteau
Expressiveness in Human Centered Data/Media
CV
Nicolas Béchet
Expressiveness in Human Centered Data/Media
CV

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Pierre-François Marteau  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-01803772

Soumis le : mercredi 30 mai 2018-20:46:07

Dernière modification le : mardi 27 août 2024-12:49:02

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hal-01803772 , version 1 (30-05-2018)

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Saeid Soheily-Khah, Pierre-François Marteau, Nicolas Béchet. Intrusion Detection in Network Systems Through Hybrid Supervised and Unsupervised Machine Learning Process: A Case Study on the ISCX Dataset. 2018 1st International Conference on Data Intelligence and Security (ICDIS), Apr 2018, South Padre Island, France. ⟨10.1109/ICDIS.2018.00043⟩. ⟨hal-01803772⟩

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