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What is Adversarial Attack Detection in IDS about?

The document proposes a WCSAN-PSO framework to detect adversarial attacks in intrusion detection systems. It uses a weighted conditional stepwise adversarial network with particle swarm optimization and support vector classification. The framework performs feature selection and extraction before adversarial training and detection. It is evaluated on a dataset containing various contemporary attacks and achieves over 98.5% accuracy in detecting attacks.

Author

Andi Novianto

Language

EN