Improved Bidirectional GAN-Based Approach for Network Intrusion Detection Using One-Class Classifier

Improved Bidirectional GAN-Based Approach for Network Intrusion Detection Using One-Class Classifier

Existing generative adversarial networks (GANs), primarily used for creating fake image samples from natural images, demand a strong dependence (i.e., the training strategy of the generators and the discriminators require to be in sync) for the generators to produce as realistic fake samples that ca...

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Bibliographic Details
Main Authors: Wen Xu, Julian Jang-Jaccard, Tong Liu, Fariza Sabrina, Jin Kwak
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Computers
Subjects:
network intrusion detection
generative adversarial networks
one class classifier
Online Access:https://www.mdpi.com/2073-431X/11/6/85

Internet

https://www.mdpi.com/2073-431X/11/6/85

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