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...

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Detalles Bibliográficos
Autores principales: Feng, Yifan, Cai, Weihong, Yue, Haoyu, Xu, Jianlong, Lin, Yan, Chen, Jiaxin, Hu, Zijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
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

Internet

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

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