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Towards Network Anomaly Detection Using Graph Embedding

In the face of endless cyberattacks, many researchers have proposed machine learning-based network anomaly detection technologies. Traditional statistical features of network flows are manually extracted and rely heavily on expert knowledge, while classifiers based on statistical features have a hig...

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Detalles Bibliográficos
Autores principales: Xiao, Qingsai, Liu, Jian, Wang, Quiyun, Jiang, Zhengwei, Wang, Xuren, Yao, Yepeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303711/
http://dx.doi.org/10.1007/978-3-030-50423-6_12