My project is about intrusion detection or classification in IoT network traffic. I have proposed something using "Stacked Conditional Variational Autoencoder" for solving data imbalance issue and an DNN for classification which I need to implement in python. And also need to compare results with benchmark algorithms. I have 3 intrusion detection datasets.
so I need to build model along with some base models provided in the article I will provide. the base model is like this: they used"Conditional Variational Autoencoder" for generating new data by training the original data. second they merged the newly generated data with original data. 3rd they used DNN algorithm o train that merged data to classify the class/labels.
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Promise delivery on time & high quality. I am interested in your project and have good experiences. If you hire me, I will do my best so that you will be fine working with me. Thank you. Best regards.