Oversampling Imbalanced Data Based on Convergent WGAN for Network Threat Detection
Class imbalance is a common problem in network threat detection. Oversampling the minority class is regarded as a popular countermeasure by generating enough new minority samples. Generative adversarial network (GAN) is a typical generative model that can generate any number of artificial minority s...
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| Auteurs principaux: | , , , , , |
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| Format: | article |
| Langue: | EN |
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Hindawi-Wiley
2021
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| Accès en ligne: | https://doaj.org/article/7a3475a20f2243a9be0d3e6b5809238a |
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