Sanil and I are experimenting to find out the best set of features to classify packets.
We have gone through some existing techniques to select some features out of the kdd dataset and are experimenting on it.
To this end I'm adding a direcotry which will contain sample datasets we're using for this experient.

Data/KDD_Classification_Dataset/AllFeatures.txt - List of all KDD features.
Data/KDD_Classification_Dataset/ClassLabelEncoding.txt - List of all class labels in the KDD dataset.
Data/KDD_Classification_Dataset/DataPreProcessing.sh - Shell script we used to preprocess the dataset.
Data/KDD_Classification_Dataset/FeaturesForClassification.txt - List of features we actually used in our experiments.
Data/KDD_Classification_Dataset/dataset.dat - Dataset with no categorical attributes
Data/KDD_Classification_Dataset/datasetc.dat - Dataset with categorical attributes
I've changed the scripts to accept datasets as commandline arguments instead of hardcoding them.
I've also put in a few basic error handling.