Producing More with Less: A GAN-based Network Attack Detection Approach for Imbalanced Data

Machine learning techniques are shown to be effective for network attack detection systems in identifying malicious network behaviors. In the real-world environment, however, network attack traffic i soften hidden under a large amount of normal daily communication traffic. In this paper, to resolve such challenges that the large-scale data is difficult to be effectively labeled, we propose a data ...