A dual-module intrusion detection model using GAN oversampling plus cost-sensitive attention CNN achieves 84.55% five-class and 91.09% binary accuracy on NSL-KDD.
Survey of intrusion detection systems: techniques, datasets and challenges
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CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data
A dual-module intrusion detection model using GAN oversampling plus cost-sensitive attention CNN achieves 84.55% five-class and 91.09% binary accuracy on NSL-KDD.