Polymorphic Adversarial Cyberattacks Using WGAN

Polymorphic Adversarial Cyberattacks Using WGAN

Intrusion Detection Systems (IDS) are essential components in preventing malicious traffic from penetrating networks and systems. Recently, these systems have been enhancing their detection ability using machine learning algorithms. This development also forces attackers to look for new methods for...

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Bibliographic Details
Main Authors: Ravi Chauhan, Ulya Sabeel, Alireza Izaddoost, Shahram Shah Heydari
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Cybersecurity and Privacy
Subjects:
adversarial attacks
Generative Adversarial Network (GAN)
Intrusion Detection Systems
DDoS/DoS attacks
machine learning
Wasserstein Generative Adversarial Network (WGAN)
Online Access:https://www.mdpi.com/2624-800X/1/4/37

Internet

https://www.mdpi.com/2624-800X/1/4/37

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