Improving the Accuracy of Network Intrusion Detection with Causal Machine Learning
In recent years, machine learning (ML) algorithms have been approved effective in the intrusion detection. However, as the ML algorithms are mainly applied to evaluate the anomaly of the network, the detection accuracy for cyberattacks with multiple types cannot be fully guaranteed. The existing alg...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Hindawi-Wiley
2021
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| Acceso en línea: | https://doaj.org/article/c3af11d54071445a8ff31338efc7b075 |
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