Deep Learning based network intrusion detection in PyTorch

Net intrusion detection experiment for Final Project of DeepLearning class at Inha University.

Dataset homepage: https://www.unb.ca/cic/datasets/ids-2017.html

Classifier	5-Fold Balanced Accuracy
Content Linear Softmax	76.27
Neural Network with 3 dense layer	85.73
Neural Network with 5 dense layer	85.63
1D-CNN with 2conv 1fc layer	87.13
CNN with 5conv layer	87.16
Random Forest	80.09

Please run the Softmax.ipynb

Please run the NN.ipynb There are two NN architectures:

Please run the CNN.ipynb There are two 1D-CNN architectures:

Name		Name	Last commit message	Last commit date
Latest commit History 61 Commits
minimalistic_demo		minimalistic_demo
.gitignore		.gitignore
CNN-Demo.ipynb		CNN-Demo.ipynb
CNN.ipynb		CNN.ipynb
Exploring.ipynb		Exploring.ipynb
KFold-eval.ipynb		KFold-eval.ipynb
NN.ipynb		NN.ipynb
README.md		README.md
RF.ipynb		RF.ipynb
Softmax.ipynb		Softmax.ipynb
models.py		models.py
preprocessing.py		preprocessing.py
releases.md		releases.md
training.ipynb		training.ipynb