AWID Classification Tool

This tool is created to demonstrate classifcation models built with AWID dataset. By Nikita Moshkov



In [2]:

    
from ipywidgets import interact, interactive, fixed
import ipywidgets as widgets
from IPython.display import clear_output
from IPython.display import display
from awid_classifier import AWIDClassifier
from tkinter import Tk, filedialog
root = Tk()
root.withdraw()
root.call('wm', 'attributes', '.', '-topmost', True)
clear_output()



In [3]:

    
isKeras = widgets.Dropdown(
options=[True, False],
description='keras model?:',
)

reducedFeatures = widgets.Dropdown(
options=[True, False],
description='reduced number of features?',
)
display(isKeras)
display(reducedFeatures)

Choose file for analysis here.



In [4]:

    
model = filedialog.askopenfilename()
print(model)









    



/home/a/nikita/nest100maxde3xgb.joblib.dat



In [22]:

    
infile = filedialog.askopenfilename()
print(infile)



In [20]:

    
classifier = AWIDClassifier(model, isKeras.value, reducedFeatures.value)



In [ ]:

    
classifier.get_attacks_info_from_pcap(infile)



In [ ]:

    
classifier.get_attacks_info_from_csv(infile)