A Comprehensive Survey of Generative Adversarial Networks (GANs) in Cybersecurity Intrusion Detection

A Comprehensive Survey of Generative Adversarial Networks (GANs) in Cybersecurity Intrusion Detection

Generative Adversarial Networks (GANs) have seen significant interest since their introduction in 2014. While originally focused primarily on image-based tasks, their capacity for generating new, synthetic data has brought them into many different fields of Machine Learning research. Their use in cy...

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Bibliographic Details
Main Authors: Aeryn Dunmore, Julian Jang-Jaccard, Fariza Sabrina, Jin Kwak
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Generative adversarial networks (GAN)
machine learning
research survey
attack modeling
threat detection
intrusion detection systems
Online Access:https://ieeexplore.ieee.org/document/10187144/

Internet

https://ieeexplore.ieee.org/document/10187144/

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