Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network
Kousik Barik,
Sanjay Misra,
Luis Fernandez-Sanz
Abstract:Artificial Intelligence (AI)-based IDS systems are susceptible to adversarial attacks and face challenges such as complex evaluation methods, elevated false positive rates, absence of effective validation, and time-intensive processes. This study proposes a WCSAN-PSO framework to detect adversarial attacks in IDS based on a weighted conditional stepwise adversarial network (WCSAN) with a particle swarm optimization (PSO) algorithm and SVC (support vector classifier) for classification. The Principal component … Show more
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