Cyberattack detection using Deep Learning and GAN

Hi,

I have a project on cyberattack detection, but the dataset is very imbalanced so I want to use 3 different GAN techniques (GAN, WCGAN, DRAGAN) to generate the data of the minority classes and then build an LSTM model for classification.

Tasks :

- Generate the data of the minority classes using 3 different GAN architectures (Traditional GAN, WCGAN, DRAGAN)

- Build an LSTM classifier with each generated data

- Compare the accuracy and plot ROC Curve

Here is the data:

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Beceriler: Deep Learning, Machine Learning (ML), Tensorflow, Python, Keras

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Proje NO: #28288879