/Neural-network-classify-aes-256-gcm-with-chacha20-poly1305

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Primary LanguagePython

Neural Network classify AES-256-GCM between chacha20poly1305

The experiment conculsion is the neural network model can't distinguish data from AES-256-GCM or chacha20poly1305, and unmodified source.

After some epoches, loss rate wander around 63%. Total only three possibility.

conclusion

Steps replicate

#generate three form data: unmodified data, AES-256-GCM 
#encryption data, chacha20poly1305 encryption data.
import generate_train_material as gl
#con=gl.read_file('xray.exe')
con=gl.generate_random_bytes_memory(3600*24*7)
rough_train_data=gl.generate_memory(con,172)
randoms=gl.generate_random_bytes_memory(3600*24*7)
rough_validate_data=gl.generate_memory(randoms,172)
#feed module
import  read_train_material as ra
#train_data=rs.get('train')
train_data=ra.get_memory(rough_train_data)
train_label=ra.get_label_list()
valida_data=ra.get_memory(rough_validate_data)
valida_label=ra.get_label_list()
#valida_data=ra.get('validate')
import neural_network_cross_entropy as ne
A=ne.nn([188,30,3])
A.THG(train_data, valida_data, 20,1,30,label_list=valida_label)