Network-Intrusion-Detection
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vinayakumarr
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
dear author when i run this code arise an error: ValueError: could not convert string to float: 'dur' in scaler = Normalizer().fit(X) Is there any solution？？ thanks!!
CSVLogger('result/cnn1result/cnntrainanalysis1.csv') How is this file generated? Thank you
I was checking this file KDDCup 99/dnn/binary/dnn1.py Code on line 20,21 ``` traindata = pd.read_csv('kdd/multiclass/Training.csv', header=None) testdata = pd.read_csv('kdd/multiclass/Testing.csv', header=None) ``` Could you please push the 'kdd/multiclass' folder from your...
Sir, I couldn't compile the code and can't understand the code flow...can you please explain how to compile the code and also the project procedures?
Hi, Can you please provide the code you have used for encoding the dataset used. I have attempted to use LabelEncoder but that doesn't seem to work. Thanks -Sara
The code in [all.py](https://github.com/vinayakumarr/Network-Intrusion-Detection/blob/master/NSL-KDD/classical/multiclass/all.py#L8) is almost the same as that in `../binary/all.py`, except the part of `GridSearch`. In the code, there is no multi-class classification task.
In the CNN model, the data is reshaped into (TrainX.shape[0], trainX.shape[1],1). How to understand this place, what does the 1 in the third dimension represent?
At line 115 of given file path, cm = metrics.confusion_matrix(y_test, y_pred), what does the values in confusion matrix convey? I,m not able to guess what these values convey as of...
Sir, While trying out your code in github i was faced with the error "could not convert string to float: 'tcp'" while trying to normalize the test data. pfa the...
I need the Runtime Environment.for example,the version of the python,Thx.
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Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15