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Anomaly-based network intrusion detection using denoising autoencoder and Wasserstein GAN synthetic attacks.

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Bibliographic Details
Title: Anomaly-based network intrusion detection using denoising autoencoder and Wasserstein GAN synthetic attacks.
Authors: Arafah, Mohammad1, Mohammad.Arafah@uop.edu.jo, Phillips, Iain2, i.w.phillips@lboro.ac.uk, Adnane, Asma2, a.adnane@lboro.ac.uk, Hadi, Wael1, whadi@uop.edu.jo, Alauthman, Mohammad1, mohammad.alauthman@uop.edu.jo, Al-Banna, Abedal-Kareem3, abanna@uop.edu.jo
Source: Applied Soft Computing; Jan2025, Vol. 168, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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