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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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Principais autores: Ravi Chauhan, Ulya Sabeel, Alireza Izaddoost, Shahram Shah Heydari
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2021-12-01
סדרה:Journal of Cybersecurity and Privacy
נושאים:
adversarial attacks
Generative Adversarial Network (GAN)
Intrusion Detection Systems
DDoS/DoS attacks
machine learning
Wasserstein Generative Adversarial Network (WGAN)
גישה מקוונת:https://www.mdpi.com/2624-800X/1/4/37
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