IDS-GAN: Stepping up Intrusion Detection Methodusing GAN Algorithm

IDS-GAN: Stepping up Intrusion Detection Methodusing GAN Algorithm

Detection, IDS, Deep Learning, GAN

Many computer networkthreats causethe security aspectto becomethe most critical problem. Theintrusion detection system is a widely used practical security tool to prevent malicious traffic from penetrating networks and systems. To solve the issue, we construct a novel algorithm using Generative Adversarial Networks (GAN)to address the IDS security problem.In this paper, we propose an intrusion detection model using GANby analyzing the extracted features of the network. To build our detection model, we collect the dataset, conduct pre-processing, trainour modelwith several hyper-parameters to get the bestaccuracy, and then test the model using the new data. Based on experimental results, the proposed model can producea 0.00539error rateand indicate a more accurate modelto detect anomaliesin the network traffic

H.Y.Fan1, SarahAnjani

https://ijicom.respati.ac.id/index.php/ijicom/article/view/55/45

August 2023

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