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An improved X-means and isolation forest based methodology for network traffic anomaly detection
Anomaly detection in network traffic is becoming a challenging task due to the complexity of large-scale networks and the proliferation of various social network applications. In the actual industrial environment, only recently obtained unlabelled data can be used as the training set. The accuracy o...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803200/ https://www.ncbi.nlm.nih.gov/pubmed/35100305 http://dx.doi.org/10.1371/journal.pone.0263423 |