"Cyber Shields Up! - Research on Network Intrusion Detection Model That Integrates WGAN-GP Algorithm and Stacking Learning Module"
"Cyber Shields Up! - Research on Network Intrusion Detection Model That Integrates WGAN-GP Algorithm and Stacking Learning Module"
Xiaoli Zhou of the School of Information Engineering at Sichuan Top IT Vocational Institute in Chengdu, China, conducted a study on integrating data augmentation and ensemble learning methods to improve the accuracy of Intrusion Detection Systems (IDS). Zhou focused on a Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP), an advanced version of the standard Machine Learning (ML) model capable of creating realistic data through a competition between two neural networks.