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An incremental anomaly detection model for virtual machines

Self-Organizing Map (SOM) algorithm as an unsupervised learning method has been applied in anomaly detection due to its capabilities of self-organizing and automatic anomaly prediction. However, because of the algorithm is initialized in random, it takes a long time to train a detection model. Besid...

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Detalles Bibliográficos
Autores principales: Zhang, Hancui, Chen, Shuyu, Liu, Jun, Zhou, Zhen, Wu, Tianshu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678885/
https://www.ncbi.nlm.nih.gov/pubmed/29117245
http://dx.doi.org/10.1371/journal.pone.0187488