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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Autores principales: Yanping Xu, Xiaoyu Zhang, Zhenliang Qiu, Xia Zhang, Jian Qiu, Hua Zhang
Formato: article
Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/7a3475a20f2243a9be0d3e6b5809238a
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