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Adversarial attacks against supervised machine learning based network intrusion detection systems
Adversarial machine learning is a recent area of study that explores both adversarial attack strategy and detection systems of adversarial attacks, which are inputs specially crafted to outwit the classification of detection systems or disrupt the training process of detection systems. In this resea...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565394/ https://www.ncbi.nlm.nih.gov/pubmed/36240162 http://dx.doi.org/10.1371/journal.pone.0275971 |