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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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| Publicado en: | Computational Science – ICCS 2020 |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7303711/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50423-6_12 |
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